In [1]:
from google.colab import drive
drive.mount('/content/drive')
Mounted at /content/drive
In [1]:
import warnings
warnings.filterwarnings('ignore')
In [3]:
import torch
from IPython.display import Image
import shutil
import os
from random import choice
In [35]:
!git clone https://github.com/ultralytics/yolov5 #https://github.com/ultralytics/yolov5
Cloning into 'yolov5'... remote: Enumerating objects: 16003, done. remote: Counting objects: 100% (36/36), done. remote: Compressing objects: 100% (23/23), done. remote: Total 16003 (delta 21), reused 20 (delta 13), pack-reused 15967 Receiving objects: 100% (16003/16003), 14.66 MiB | 36.43 MiB/s, done. Resolving deltas: 100% (10983/10983), done.
In [36]:
%cd /content/yolov5/
/content/yolov5
In [37]:
!pip install -r requirements.txt
Requirement already satisfied: gitpython>=3.1.30 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 5)) (3.1.37) Requirement already satisfied: matplotlib>=3.3 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 6)) (3.7.1) Requirement already satisfied: numpy>=1.22.2 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 7)) (1.23.5) Requirement already satisfied: opencv-python>=4.1.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 8)) (4.8.0.76) Requirement already satisfied: Pillow>=7.1.2 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 9)) (9.4.0) Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 10)) (5.9.5) Requirement already satisfied: PyYAML>=5.3.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 11)) (6.0.1) Requirement already satisfied: requests>=2.23.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 12)) (2.31.0) Requirement already satisfied: scipy>=1.4.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 13)) (1.11.3) Requirement already satisfied: thop>=0.1.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 14)) (0.1.1.post2209072238) Requirement already satisfied: torch>=1.8.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 15)) (2.0.1+cu118) Requirement already satisfied: torchvision>=0.9.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 16)) (0.15.2+cu118) Requirement already satisfied: tqdm>=4.64.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 17)) (4.66.1) Requirement already satisfied: ultralytics>=8.0.147 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 18)) (8.0.197) Requirement already satisfied: pandas>=1.1.4 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 27)) (1.5.3) Requirement already satisfied: seaborn>=0.11.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 28)) (0.12.2) Requirement already satisfied: setuptools>=65.5.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 42)) (67.7.2) Requirement already satisfied: gitdb<5,>=4.0.1 in /usr/local/lib/python3.10/dist-packages (from gitpython>=3.1.30->-r requirements.txt (line 5)) (4.0.10) Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3->-r requirements.txt (line 6)) (1.1.1) Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3->-r requirements.txt (line 6)) (0.12.1) Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3->-r requirements.txt (line 6)) (4.43.1) Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3->-r requirements.txt (line 6)) (1.4.5) Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3->-r requirements.txt (line 6)) (23.2) Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3->-r requirements.txt (line 6)) (3.1.1) Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3->-r requirements.txt (line 6)) (2.8.2) Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.23.0->-r requirements.txt (line 12)) (3.3.0) Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.23.0->-r requirements.txt (line 12)) (3.4) Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.23.0->-r requirements.txt (line 12)) (2.0.6) Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.23.0->-r requirements.txt (line 12)) (2023.7.22) Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->-r requirements.txt (line 15)) (3.12.4) Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->-r requirements.txt (line 15)) (4.5.0) Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->-r requirements.txt (line 15)) (1.12) Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->-r requirements.txt (line 15)) (3.1) Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->-r requirements.txt (line 15)) (3.1.2) Requirement already satisfied: triton==2.0.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->-r requirements.txt (line 15)) (2.0.0) Requirement already satisfied: cmake in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.8.0->-r requirements.txt (line 15)) (3.27.6) Requirement already satisfied: lit in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.8.0->-r requirements.txt (line 15)) (17.0.2) Requirement already satisfied: py-cpuinfo in /usr/local/lib/python3.10/dist-packages (from ultralytics>=8.0.147->-r requirements.txt (line 18)) (9.0.0) Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=1.1.4->-r requirements.txt (line 27)) (2023.3.post1) Requirement already satisfied: smmap<6,>=3.0.1 in /usr/local/lib/python3.10/dist-packages (from gitdb<5,>=4.0.1->gitpython>=3.1.30->-r requirements.txt (line 5)) (5.0.1) Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.7->matplotlib>=3.3->-r requirements.txt (line 6)) (1.16.0) Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.8.0->-r requirements.txt (line 15)) (2.1.3) Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.8.0->-r requirements.txt (line 15)) (1.3.0)
In [38]:
# arrays to store file names
imgs = []
xmls = []
# setup directory names
train_path = "/content/drive/MyDrive/16/yolo/train/images"
val_path = "/content/drive/MyDrive/16/yolo/valid/images"
crs_path = "/content/drive/MyDrive/16/yolo/images"
train_ratio = 0.8
val_ratio = 0.2
# total count of imgs
total_img_count = len(os.listdir(crs_path))/2
# sorting count of imgs
for (dirname,dirs, files) in os.walk(crs_path):
# print(files)
for filename in files:
# print("hello")
if filename.endswith(".txt"):
xmls.append(filename)
else:
imgs.append(filename)
# counting range for cycles
count_for_train = int(len(imgs)*train_ratio)
count_for_val = int(len(imgs)*val_ratio)
print("training images are : ",count_for_train)
print("validation images are : ",count_for_val)
training images are : 212 validation images are : 53
In [39]:
len(imgs)
Out[39]:
265
In [40]:
train_image_path = "/content/drive/MyDrive/16/yolo/train/images"
train_label_path = "/content/drive/MyDrive/16/yolo/train/labels"
val_image_path = "/content/drive/MyDrive/16/yolo/valid/images"
val_label_path = "/content/drive/MyDrive/16/yolo/valid/labels"
if not os.path.isdir(train_image_path):
os.makedirs(train_image_path)
if not os.path.isdir(train_label_path):
os.makedirs(train_label_path)
if not os.path.isdir(val_image_path):
os.makedirs(val_image_path)
if not os.path.isdir(val_label_path):
os.makedirs(val_label_path)
# cycle for train dir
for x in range(count_for_train):
file_jpg = choice(imgs)
file_xml = file_jpg[:-4] + ".txt"
shutil.copy(os.path.join(crs_path,file_jpg),os.path.join(train_image_path,file_jpg))
shutil.copy(os.path.join(crs_path,file_xml),os.path.join(train_label_path,file_xml))
imgs.remove(file_jpg)
xmls.remove(file_xml)
# cycle for test dir
for x in range(count_for_val):
file_jpg = choice(imgs)
file_xml = file_jpg[:-4] + ".txt"
shutil.copy(os.path.join(crs_path,file_jpg),os.path.join(val_image_path,file_jpg))
shutil.copy(os.path.join(crs_path,file_xml),os.path.join(val_label_path,file_xml))
imgs.remove(file_jpg)
xmls.remove(file_xml)
# rest of files
print("images length - ",len(imgs))
print(imgs,xmls)
for x in imgs:
file_jpg = x
file_xml = file_jpg[:-4] + ".txt"
shutil.copy(os.path.join(crs_path,file_jpg),os.path.join(val_image_path,file_jpg))
shutil.copy(os.path.join(crs_path,file_xml),os.path.join(val_label_path,file_xml))
# shutil.copytree(crs_path,val_path)
images length - 0 [] []
In [41]:
with open(r'/content/drive/MyDrive/16/yolo/data.yaml', 'r') as file:
lines = file.readlines()
print(lines)
['train: /content/drive/MyDrive/16/yolo/train\n', 'val: /content/drive/MyDrive/16/yolo/valid\n', '\n', '# number of classes\n', 'nc: 8\n', '\n', '# class names\n', "names: ['car', 'pickup', 'camping','truck', 'other', 'tractor', 'boat', 'van']"]
In [13]:
ML_Model = []
precision = []
recall = []
mAP = []
#function to call for storing the results
def storeResults(model, a,b,c):
ML_Model.append(model)
precision.append(round(a, 3))
recall.append(round(b, 3))
mAP.append(round(c, 3))
Yolov5s¶
In [11]:
!wandb disabled
!python train.py --img 416 --batch 2 --epochs 200 --data /content/drive/MyDrive/16/yolo/data.yaml --weights yolov5s.pt --cache --workers 2
/bin/bash: line 1: wandb: command not found train: weights=yolov5s.pt, cfg=, data=/content/drive/MyDrive/16/yolo/data.yaml, hyp=data/hyps/hyp.scratch-low.yaml, epochs=200, batch_size=2, imgsz=416, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, noplots=False, evolve=None, bucket=, cache=ram, image_weights=False, device=, multi_scale=False, single_cls=False, optimizer=SGD, sync_bn=False, workers=2, project=runs/train, name=exp, exist_ok=False, quad=False, cos_lr=False, label_smoothing=0.0, patience=100, freeze=[0], save_period=-1, seed=0, local_rank=-1, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest github: up to date with https://github.com/ultralytics/yolov5 ✅ YOLOv5 🚀 v7.0-226-gdd9e338 Python-3.10.12 torch-2.0.1+cu118 CUDA:0 (Tesla T4, 15102MiB) hyperparameters: lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=0.05, cls=0.5, cls_pw=1.0, obj=1.0, obj_pw=1.0, iou_t=0.2, anchor_t=4.0, fl_gamma=0.0, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0 Comet: run 'pip install comet_ml' to automatically track and visualize YOLOv5 🚀 runs in Comet TensorBoard: Start with 'tensorboard --logdir runs/train', view at http://localhost:6006/ Downloading https://ultralytics.com/assets/Arial.ttf to /root/.config/Ultralytics/Arial.ttf... 100% 755k/755k [00:00<00:00, 117MB/s] Downloading https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov5s.pt to yolov5s.pt... 100% 14.1M/14.1M [00:01<00:00, 11.8MB/s] Overriding model.yaml nc=80 with nc=8 from n params module arguments 0 -1 1 3520 models.common.Conv [3, 32, 6, 2, 2] 1 -1 1 18560 models.common.Conv [32, 64, 3, 2] 2 -1 1 18816 models.common.C3 [64, 64, 1] 3 -1 1 73984 models.common.Conv [64, 128, 3, 2] 4 -1 2 115712 models.common.C3 [128, 128, 2] 5 -1 1 295424 models.common.Conv [128, 256, 3, 2] 6 -1 3 625152 models.common.C3 [256, 256, 3] 7 -1 1 1180672 models.common.Conv [256, 512, 3, 2] 8 -1 1 1182720 models.common.C3 [512, 512, 1] 9 -1 1 656896 models.common.SPPF [512, 512, 5] 10 -1 1 131584 models.common.Conv [512, 256, 1, 1] 11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] 12 [-1, 6] 1 0 models.common.Concat [1] 13 -1 1 361984 models.common.C3 [512, 256, 1, False] 14 -1 1 33024 models.common.Conv [256, 128, 1, 1] 15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] 16 [-1, 4] 1 0 models.common.Concat [1] 17 -1 1 90880 models.common.C3 [256, 128, 1, False] 18 -1 1 147712 models.common.Conv [128, 128, 3, 2] 19 [-1, 14] 1 0 models.common.Concat [1] 20 -1 1 296448 models.common.C3 [256, 256, 1, False] 21 -1 1 590336 models.common.Conv [256, 256, 3, 2] 22 [-1, 10] 1 0 models.common.Concat [1] 23 -1 1 1182720 models.common.C3 [512, 512, 1, False] 24 [17, 20, 23] 1 35061 models.yolo.Detect [8, [[10, 13, 16, 30, 33, 23], [30, 61, 62, 45, 59, 119], [116, 90, 156, 198, 373, 326]], [128, 256, 512]] Model summary: 214 layers, 7041205 parameters, 7041205 gradients, 16.0 GFLOPs Transferred 343/349 items from yolov5s.pt AMP: checks passed ✅ optimizer: SGD(lr=0.01) with parameter groups 57 weight(decay=0.0), 60 weight(decay=0.0005), 60 bias albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8)) train: Scanning /content/drive/MyDrive/16/yolo/train/labels... 691 images, 11 backgrounds, 10 corrupt: 100% 691/691 [00:52<00:00, 13.18it/s] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000033.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0004] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000044.png: ignoring corrupt image/label: negative label values [ -0.0036738] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000111.png: ignoring corrupt image/label: negative label values [-5.7568e-05] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000219.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0015] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000281.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0083] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000338.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0045] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000463.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.001] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000484.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0029] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000550.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0095] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000614.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0007] train: New cache created: /content/drive/MyDrive/16/yolo/train/labels.cache train: Caching images (0.3GB ram): 100% 681/681 [00:01<00:00, 548.86it/s] val: Scanning /content/drive/MyDrive/16/yolo/valid/labels.cache... 265 images, 9 backgrounds, 4 corrupt: 100% 265/265 [00:00<?, ?it/s] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000033.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0004] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000044.png: ignoring corrupt image/label: negative label values [ -0.0036738] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000111.png: ignoring corrupt image/label: negative label values [-5.7568e-05] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000219.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0015] val: Caching images (0.1GB ram): 100% 261/261 [00:13<00:00, 18.99it/s] AutoAnchor: 3.41 anchors/target, 1.000 Best Possible Recall (BPR). Current anchors are a good fit to dataset ✅ Plotting labels to runs/train/exp/labels.jpg... Image sizes 416 train, 416 val Using 2 dataloader workers Logging results to runs/train/exp Starting training for 200 epochs... Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 0/199 0.459G 0.08263 0.01295 0.03757 4 416: 100% 341/341 [00:18<00:00, 18.05it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 20.22it/s] all 261 1002 0.000207 0.0136 0.000113 2.25e-05 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 1/199 0.459G 0.06804 0.01499 0.03383 9 416: 100% 341/341 [00:14<00:00, 23.63it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.71it/s] all 261 1002 0.258 0.0869 0.00701 0.00165 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 2/199 0.459G 0.05963 0.01371 0.03206 2 416: 100% 341/341 [00:14<00:00, 24.30it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.57it/s] all 261 1002 0.00591 0.351 0.0156 0.00421 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 3/199 0.459G 0.05303 0.01461 0.03201 3 416: 100% 341/341 [00:13<00:00, 24.58it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.69it/s] all 261 1002 0.532 0.0956 0.0528 0.0163 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 4/199 0.459G 0.04789 0.01381 0.0318 3 416: 100% 341/341 [00:14<00:00, 23.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.68it/s] all 261 1002 0.332 0.172 0.0918 0.0325 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 5/199 0.459G 0.04306 0.01423 0.03099 6 416: 100% 341/341 [00:13<00:00, 24.52it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.41it/s] all 261 1002 0.471 0.183 0.0989 0.0373 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 6/199 0.459G 0.04123 0.01338 0.03064 8 416: 100% 341/341 [00:14<00:00, 24.23it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.99it/s] all 261 1002 0.511 0.22 0.137 0.0549 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 7/199 0.459G 0.04068 0.0135 0.03092 4 416: 100% 341/341 [00:14<00:00, 23.93it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.86it/s] all 261 1002 0.661 0.234 0.165 0.0617 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 8/199 0.459G 0.03838 0.01287 0.02994 2 416: 100% 341/341 [00:14<00:00, 24.30it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.55it/s] all 261 1002 0.656 0.217 0.158 0.0604 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 9/199 0.459G 0.03887 0.01336 0.0303 17 416: 100% 341/341 [00:14<00:00, 24.01it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.19it/s] all 261 1002 0.644 0.243 0.165 0.0632 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 10/199 0.459G 0.03707 0.01241 0.02887 6 416: 100% 341/341 [00:14<00:00, 24.03it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.29it/s] all 261 1002 0.66 0.248 0.186 0.0791 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 11/199 0.459G 0.03643 0.01263 0.02864 2 416: 100% 341/341 [00:14<00:00, 23.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.46it/s] all 261 1002 0.527 0.281 0.186 0.0711 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 12/199 0.459G 0.03563 0.0123 0.02894 13 416: 100% 341/341 [00:13<00:00, 24.50it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.37it/s] all 261 1002 0.478 0.284 0.198 0.0874 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 13/199 0.459G 0.03501 0.01198 0.02804 2 416: 100% 341/341 [00:14<00:00, 24.03it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.15it/s] all 261 1002 0.457 0.267 0.209 0.0947 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 14/199 0.459G 0.03627 0.01234 0.02774 5 416: 100% 341/341 [00:14<00:00, 24.20it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.40it/s] all 261 1002 0.47 0.255 0.212 0.0991 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 15/199 0.459G 0.03703 0.01307 0.02776 4 416: 100% 341/341 [00:14<00:00, 24.26it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.58it/s] all 261 1002 0.436 0.286 0.224 0.102 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 16/199 0.459G 0.0343 0.01194 0.02694 1 416: 100% 341/341 [00:14<00:00, 23.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.56it/s] all 261 1002 0.476 0.292 0.223 0.1 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 17/199 0.459G 0.0349 0.01186 0.02632 0 416: 100% 341/341 [00:13<00:00, 24.52it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.63it/s] all 261 1002 0.599 0.301 0.225 0.103 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 18/199 0.459G 0.03437 0.0122 0.02594 2 416: 100% 341/341 [00:13<00:00, 24.50it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.28it/s] all 261 1002 0.419 0.316 0.219 0.0943 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 19/199 0.459G 0.03484 0.01192 0.02554 6 416: 100% 341/341 [00:13<00:00, 24.55it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.48it/s] all 261 1002 0.316 0.307 0.239 0.112 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 20/199 0.459G 0.0335 0.01187 0.02511 4 416: 100% 341/341 [00:14<00:00, 24.17it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.49it/s] all 261 1002 0.351 0.326 0.264 0.117 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 21/199 0.459G 0.0355 0.01247 0.02524 15 416: 100% 341/341 [00:14<00:00, 24.14it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.45it/s] all 261 1002 0.364 0.326 0.249 0.111 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 22/199 0.459G 0.03226 0.01097 0.02445 0 416: 100% 341/341 [00:14<00:00, 24.04it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.62it/s] all 261 1002 0.483 0.356 0.264 0.124 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 23/199 0.459G 0.03238 0.01165 0.02386 1 416: 100% 341/341 [00:14<00:00, 24.23it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.85it/s] all 261 1002 0.485 0.307 0.269 0.124 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 24/199 0.459G 0.03523 0.0123 0.02568 2 416: 100% 341/341 [00:14<00:00, 23.82it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.42it/s] all 261 1002 0.459 0.384 0.266 0.125 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 25/199 0.459G 0.03393 0.01172 0.02415 12 416: 100% 341/341 [00:14<00:00, 23.92it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.41it/s] all 261 1002 0.366 0.376 0.274 0.13 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 26/199 0.459G 0.03464 0.01184 0.02437 9 416: 100% 341/341 [00:13<00:00, 24.72it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.73it/s] all 261 1002 0.609 0.346 0.285 0.13 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 27/199 0.459G 0.03217 0.0113 0.02423 1 416: 100% 341/341 [00:13<00:00, 24.93it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.75it/s] all 261 1002 0.359 0.368 0.277 0.131 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 28/199 0.459G 0.03208 0.01092 0.02364 0 416: 100% 341/341 [00:13<00:00, 24.55it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.78it/s] all 261 1002 0.565 0.347 0.295 0.137 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 29/199 0.459G 0.03076 0.011 0.02325 0 416: 100% 341/341 [00:13<00:00, 24.82it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.35it/s] all 261 1002 0.619 0.347 0.306 0.146 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 30/199 0.459G 0.03074 0.01111 0.02253 0 416: 100% 341/341 [00:13<00:00, 25.08it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.36it/s] all 261 1002 0.473 0.413 0.303 0.141 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 31/199 0.459G 0.03119 0.01119 0.02268 6 416: 100% 341/341 [00:13<00:00, 24.61it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.76it/s] all 261 1002 0.569 0.371 0.308 0.15 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 32/199 0.459G 0.03232 0.01174 0.02287 2 416: 100% 341/341 [00:14<00:00, 23.38it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.83it/s] all 261 1002 0.522 0.393 0.304 0.148 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 33/199 0.459G 0.03163 0.01079 0.0227 1 416: 100% 341/341 [00:13<00:00, 24.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.74it/s] all 261 1002 0.548 0.382 0.347 0.172 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 34/199 0.459G 0.03232 0.0111 0.02272 1 416: 100% 341/341 [00:13<00:00, 24.61it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.71it/s] all 261 1002 0.515 0.396 0.329 0.162 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 35/199 0.459G 0.03153 0.01128 0.02225 1 416: 100% 341/341 [00:13<00:00, 24.98it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.08it/s] all 261 1002 0.555 0.354 0.34 0.172 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 36/199 0.459G 0.03209 0.01125 0.0227 13 416: 100% 341/341 [00:13<00:00, 24.66it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.60it/s] all 261 1002 0.578 0.352 0.339 0.163 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 37/199 0.459G 0.03229 0.01098 0.02153 0 416: 100% 341/341 [00:14<00:00, 23.31it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.22it/s] all 261 1002 0.401 0.395 0.328 0.153 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 38/199 0.459G 0.03054 0.0111 0.02258 6 416: 100% 341/341 [00:14<00:00, 23.27it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.19it/s] all 261 1002 0.529 0.364 0.333 0.163 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 39/199 0.459G 0.03086 0.01109 0.02191 9 416: 100% 341/341 [00:14<00:00, 23.81it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.95it/s] all 261 1002 0.533 0.417 0.35 0.173 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 40/199 0.459G 0.03076 0.01116 0.02084 6 416: 100% 341/341 [00:14<00:00, 24.20it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.20it/s] all 261 1002 0.421 0.432 0.366 0.179 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 41/199 0.459G 0.03113 0.01145 0.02174 3 416: 100% 341/341 [00:14<00:00, 23.96it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.62it/s] all 261 1002 0.666 0.359 0.358 0.163 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 42/199 0.459G 0.03247 0.01096 0.02048 0 416: 100% 341/341 [00:14<00:00, 22.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.95it/s] all 261 1002 0.668 0.392 0.374 0.189 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 43/199 0.459G 0.03075 0.01128 0.02084 7 416: 100% 341/341 [00:14<00:00, 23.88it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.14it/s] all 261 1002 0.546 0.418 0.365 0.178 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 44/199 0.459G 0.02977 0.01073 0.02093 4 416: 100% 341/341 [00:13<00:00, 24.46it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.33it/s] all 261 1002 0.584 0.411 0.393 0.192 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 45/199 0.459G 0.03094 0.01106 0.02121 2 416: 100% 341/341 [00:13<00:00, 24.59it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.14it/s] all 261 1002 0.549 0.397 0.361 0.169 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 46/199 0.459G 0.02952 0.01016 0.02004 7 416: 100% 341/341 [00:13<00:00, 24.96it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.27it/s] all 261 1002 0.699 0.371 0.398 0.193 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 47/199 0.459G 0.03039 0.01033 0.02182 2 416: 100% 341/341 [00:14<00:00, 24.01it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.08it/s] all 261 1002 0.535 0.443 0.389 0.182 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 48/199 0.459G 0.02875 0.0106 0.02019 0 416: 100% 341/341 [00:13<00:00, 25.12it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.60it/s] all 261 1002 0.545 0.447 0.384 0.191 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 49/199 0.459G 0.02994 0.01082 0.02021 3 416: 100% 341/341 [00:14<00:00, 23.94it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.78it/s] all 261 1002 0.439 0.448 0.367 0.185 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 50/199 0.459G 0.03055 0.01075 0.02124 6 416: 100% 341/341 [00:13<00:00, 24.38it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.91it/s] all 261 1002 0.434 0.457 0.393 0.198 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 51/199 0.459G 0.03071 0.01122 0.02041 3 416: 100% 341/341 [00:14<00:00, 24.29it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.29it/s] all 261 1002 0.557 0.396 0.389 0.194 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 52/199 0.459G 0.02965 0.01032 0.02019 13 416: 100% 341/341 [00:14<00:00, 23.98it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.26it/s] all 261 1002 0.646 0.392 0.408 0.205 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 53/199 0.459G 0.02994 0.01069 0.01905 6 416: 100% 341/341 [00:13<00:00, 24.86it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.01it/s] all 261 1002 0.714 0.348 0.398 0.206 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 54/199 0.459G 0.0303 0.01025 0.02017 2 416: 100% 341/341 [00:14<00:00, 23.96it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.99it/s] all 261 1002 0.464 0.498 0.419 0.217 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 55/199 0.459G 0.0283 0.01062 0.01892 0 416: 100% 341/341 [00:13<00:00, 24.40it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.58it/s] all 261 1002 0.644 0.427 0.435 0.225 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 56/199 0.459G 0.02916 0.01078 0.02027 5 416: 100% 341/341 [00:14<00:00, 24.13it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.31it/s] all 261 1002 0.511 0.439 0.425 0.22 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 57/199 0.459G 0.02892 0.01072 0.0192 2 416: 100% 341/341 [00:13<00:00, 24.63it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.15it/s] all 261 1002 0.49 0.475 0.426 0.219 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 58/199 0.459G 0.02953 0.01061 0.01938 1 416: 100% 341/341 [00:13<00:00, 24.49it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.90it/s] all 261 1002 0.483 0.474 0.419 0.201 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 59/199 0.459G 0.02964 0.01079 0.01962 1 416: 100% 341/341 [00:14<00:00, 23.58it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.73it/s] all 261 1002 0.603 0.46 0.45 0.236 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 60/199 0.459G 0.02958 0.01054 0.01996 5 416: 100% 341/341 [00:14<00:00, 23.80it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.07it/s] all 261 1002 0.524 0.541 0.484 0.257 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 61/199 0.459G 0.02946 0.01078 0.01976 3 416: 100% 341/341 [00:14<00:00, 23.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.20it/s] all 261 1002 0.477 0.518 0.454 0.246 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 62/199 0.459G 0.02919 0.01048 0.01857 0 416: 100% 341/341 [00:13<00:00, 24.38it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.98it/s] all 261 1002 0.635 0.42 0.439 0.229 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 63/199 0.459G 0.02793 0.01022 0.0191 2 416: 100% 341/341 [00:14<00:00, 24.17it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.74it/s] all 261 1002 0.545 0.471 0.45 0.23 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 64/199 0.459G 0.02918 0.01045 0.01907 3 416: 100% 341/341 [00:14<00:00, 24.08it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.67it/s] all 261 1002 0.511 0.51 0.474 0.24 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 65/199 0.459G 0.0306 0.01043 0.01867 6 416: 100% 341/341 [00:14<00:00, 23.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.37it/s] all 261 1002 0.637 0.454 0.467 0.249 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 66/199 0.459G 0.02945 0.01061 0.01916 10 416: 100% 341/341 [00:13<00:00, 24.54it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.22it/s] all 261 1002 0.621 0.486 0.478 0.259 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 67/199 0.459G 0.02942 0.01105 0.01839 2 416: 100% 341/341 [00:14<00:00, 23.80it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.16it/s] all 261 1002 0.539 0.504 0.48 0.247 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 68/199 0.459G 0.02876 0.009723 0.01842 1 416: 100% 341/341 [00:13<00:00, 24.68it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.91it/s] all 261 1002 0.699 0.435 0.496 0.268 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 69/199 0.459G 0.02785 0.01001 0.01792 0 416: 100% 341/341 [00:14<00:00, 24.24it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.87it/s] all 261 1002 0.661 0.438 0.474 0.246 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 70/199 0.459G 0.02923 0.01066 0.01788 2 416: 100% 341/341 [00:13<00:00, 24.64it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.32it/s] all 261 1002 0.674 0.47 0.5 0.264 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 71/199 0.459G 0.0287 0.01016 0.0182 3 416: 100% 341/341 [00:14<00:00, 24.30it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.96it/s] all 261 1002 0.656 0.454 0.5 0.269 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 72/199 0.459G 0.02876 0.01115 0.01788 5 416: 100% 341/341 [00:14<00:00, 23.93it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.74it/s] all 261 1002 0.558 0.453 0.497 0.255 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 73/199 0.459G 0.0284 0.009981 0.01844 2 416: 100% 341/341 [00:14<00:00, 23.97it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.72it/s] all 261 1002 0.652 0.467 0.504 0.27 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 74/199 0.459G 0.02865 0.01021 0.01727 6 416: 100% 341/341 [00:14<00:00, 23.10it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.10it/s] all 261 1002 0.676 0.483 0.528 0.285 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 75/199 0.459G 0.02849 0.01029 0.01701 2 416: 100% 341/341 [00:14<00:00, 23.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.80it/s] all 261 1002 0.628 0.475 0.508 0.264 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 76/199 0.459G 0.02826 0.01064 0.01723 2 416: 100% 341/341 [00:14<00:00, 23.74it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.95it/s] all 261 1002 0.704 0.439 0.534 0.283 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 77/199 0.459G 0.02775 0.009692 0.01742 1 416: 100% 341/341 [00:14<00:00, 24.14it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.86it/s] all 261 1002 0.526 0.573 0.557 0.299 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 78/199 0.459G 0.0273 0.01052 0.01636 8 416: 100% 341/341 [00:14<00:00, 23.89it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.72it/s] all 261 1002 0.679 0.46 0.528 0.265 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 79/199 0.459G 0.0277 0.009716 0.01654 2 416: 100% 341/341 [00:14<00:00, 23.44it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.99it/s] all 261 1002 0.589 0.531 0.542 0.282 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 80/199 0.459G 0.02751 0.01037 0.01663 0 416: 100% 341/341 [00:13<00:00, 24.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.57it/s] all 261 1002 0.564 0.529 0.518 0.265 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 81/199 0.459G 0.02862 0.01048 0.01668 4 416: 100% 341/341 [00:14<00:00, 23.91it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.76it/s] all 261 1002 0.588 0.528 0.543 0.272 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 82/199 0.459G 0.02699 0.009888 0.0166 5 416: 100% 341/341 [00:14<00:00, 24.27it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.06it/s] all 261 1002 0.709 0.465 0.553 0.295 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 83/199 0.459G 0.02841 0.01005 0.01635 5 416: 100% 341/341 [00:14<00:00, 23.67it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.75it/s] all 261 1002 0.684 0.524 0.58 0.303 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 84/199 0.459G 0.02867 0.01014 0.01602 1 416: 100% 341/341 [00:14<00:00, 23.62it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.67it/s] all 261 1002 0.595 0.594 0.579 0.294 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 85/199 0.459G 0.02811 0.0105 0.01618 3 416: 100% 341/341 [00:14<00:00, 23.47it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.74it/s] all 261 1002 0.696 0.472 0.549 0.281 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 86/199 0.459G 0.02834 0.009927 0.01716 6 416: 100% 341/341 [00:14<00:00, 23.62it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.56it/s] all 261 1002 0.615 0.569 0.577 0.305 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 87/199 0.459G 0.02715 0.009513 0.0164 3 416: 100% 341/341 [00:14<00:00, 24.31it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.75it/s] all 261 1002 0.615 0.58 0.59 0.315 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 88/199 0.461G 0.02783 0.01023 0.01628 8 416: 100% 341/341 [00:13<00:00, 24.48it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.61it/s] all 261 1002 0.649 0.54 0.581 0.31 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 89/199 0.461G 0.0276 0.009516 0.01546 10 416: 100% 341/341 [00:14<00:00, 23.81it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.47it/s] all 261 1002 0.639 0.53 0.575 0.305 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 90/199 0.461G 0.02786 0.01008 0.01525 3 416: 100% 341/341 [00:14<00:00, 23.60it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.84it/s] all 261 1002 0.626 0.551 0.564 0.299 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 91/199 0.461G 0.0261 0.00964 0.01506 1 416: 100% 341/341 [00:14<00:00, 24.29it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.63it/s] all 261 1002 0.682 0.501 0.556 0.295 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 92/199 0.461G 0.02649 0.009939 0.01489 5 416: 100% 341/341 [00:14<00:00, 23.96it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.19it/s] all 261 1002 0.711 0.481 0.572 0.301 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 93/199 0.461G 0.02732 0.009943 0.01501 0 416: 100% 341/341 [00:14<00:00, 23.82it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.36it/s] all 261 1002 0.683 0.551 0.592 0.304 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 94/199 0.461G 0.02839 0.00997 0.01552 13 416: 100% 341/341 [00:14<00:00, 22.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.77it/s] all 261 1002 0.663 0.515 0.573 0.307 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 95/199 0.461G 0.02721 0.01001 0.01481 2 416: 100% 341/341 [00:14<00:00, 23.19it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.26it/s] all 261 1002 0.639 0.583 0.602 0.333 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 96/199 0.461G 0.02736 0.00946 0.01536 5 416: 100% 341/341 [00:14<00:00, 23.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.79it/s] all 261 1002 0.672 0.561 0.597 0.32 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 97/199 0.461G 0.02753 0.009643 0.01421 2 416: 100% 341/341 [00:14<00:00, 24.07it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.13it/s] all 261 1002 0.685 0.564 0.598 0.326 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 98/199 0.461G 0.02777 0.01035 0.01515 1 416: 100% 341/341 [00:14<00:00, 23.43it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.75it/s] all 261 1002 0.695 0.54 0.613 0.338 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 99/199 0.461G 0.02654 0.009711 0.01413 3 416: 100% 341/341 [00:14<00:00, 24.08it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.81it/s] all 261 1002 0.741 0.544 0.601 0.319 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 100/199 0.461G 0.02621 0.008961 0.01367 3 416: 100% 341/341 [00:14<00:00, 23.98it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.55it/s] all 261 1002 0.683 0.558 0.589 0.308 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 101/199 0.461G 0.02744 0.0102 0.01408 11 416: 100% 341/341 [00:14<00:00, 23.00it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.67it/s] all 261 1002 0.669 0.59 0.621 0.332 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 102/199 0.461G 0.0263 0.009649 0.01472 11 416: 100% 341/341 [00:14<00:00, 23.20it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.84it/s] all 261 1002 0.707 0.571 0.631 0.338 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 103/199 0.461G 0.02674 0.009778 0.01388 2 416: 100% 341/341 [00:14<00:00, 23.19it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.11it/s] all 261 1002 0.707 0.592 0.636 0.346 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 104/199 0.461G 0.02725 0.009262 0.01406 9 416: 100% 341/341 [00:14<00:00, 23.90it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.49it/s] all 261 1002 0.691 0.61 0.636 0.332 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 105/199 0.461G 0.02713 0.01074 0.01421 14 416: 100% 341/341 [00:14<00:00, 24.01it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.11it/s] all 261 1002 0.708 0.59 0.636 0.34 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 106/199 0.461G 0.02669 0.009865 0.01489 7 416: 100% 341/341 [00:14<00:00, 24.31it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.09it/s] all 261 1002 0.7 0.587 0.64 0.343 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 107/199 0.461G 0.02666 0.009445 0.01317 3 416: 100% 341/341 [00:14<00:00, 23.52it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.03it/s] all 261 1002 0.737 0.592 0.645 0.344 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 108/199 0.461G 0.02734 0.009781 0.01357 8 416: 100% 341/341 [00:14<00:00, 24.22it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.54it/s] all 261 1002 0.713 0.606 0.652 0.353 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 109/199 0.461G 0.02624 0.009703 0.01343 7 416: 100% 341/341 [00:13<00:00, 24.95it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.79it/s] all 261 1002 0.777 0.564 0.67 0.361 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 110/199 0.461G 0.02576 0.009244 0.01303 0 416: 100% 341/341 [00:13<00:00, 24.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.48it/s] all 261 1002 0.739 0.608 0.681 0.357 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 111/199 0.461G 0.02616 0.009612 0.01325 4 416: 100% 341/341 [00:13<00:00, 24.61it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.12it/s] all 261 1002 0.742 0.533 0.633 0.346 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 112/199 0.461G 0.02565 0.009346 0.01248 0 416: 100% 341/341 [00:13<00:00, 24.70it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.54it/s] all 261 1002 0.726 0.583 0.646 0.354 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 113/199 0.461G 0.02546 0.009328 0.01241 1 416: 100% 341/341 [00:14<00:00, 24.30it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.85it/s] all 261 1002 0.706 0.586 0.647 0.35 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 114/199 0.461G 0.02617 0.01022 0.01298 0 416: 100% 341/341 [00:13<00:00, 24.67it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.92it/s] all 261 1002 0.68 0.568 0.628 0.343 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 115/199 0.461G 0.02579 0.009126 0.01305 1 416: 100% 341/341 [00:13<00:00, 25.11it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.71it/s] all 261 1002 0.735 0.59 0.675 0.374 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 116/199 0.461G 0.02581 0.009649 0.01313 10 416: 100% 341/341 [00:13<00:00, 24.69it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.38it/s] all 261 1002 0.767 0.577 0.682 0.38 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 117/199 0.461G 0.02587 0.009641 0.01344 1 416: 100% 341/341 [00:13<00:00, 24.38it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.69it/s] all 261 1002 0.717 0.606 0.656 0.354 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 118/199 0.461G 0.02633 0.009524 0.01336 6 416: 100% 341/341 [00:14<00:00, 24.19it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.80it/s] all 261 1002 0.724 0.575 0.656 0.366 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 119/199 0.461G 0.02535 0.009371 0.01284 1 416: 100% 341/341 [00:13<00:00, 25.03it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.29it/s] all 261 1002 0.743 0.588 0.656 0.365 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 120/199 0.461G 0.02495 0.009821 0.01173 2 416: 100% 341/341 [00:13<00:00, 25.13it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.71it/s] all 261 1002 0.708 0.594 0.672 0.38 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 121/199 0.461G 0.02662 0.01002 0.01255 6 416: 100% 341/341 [00:14<00:00, 24.28it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.04it/s] all 261 1002 0.771 0.6 0.686 0.382 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 122/199 0.461G 0.02551 0.008936 0.01225 2 416: 100% 341/341 [00:14<00:00, 23.08it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.01it/s] all 261 1002 0.75 0.596 0.686 0.38 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 123/199 0.461G 0.0269 0.009068 0.01286 3 416: 100% 341/341 [00:14<00:00, 23.40it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.34it/s] all 261 1002 0.729 0.621 0.697 0.393 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 124/199 0.461G 0.02561 0.009801 0.01245 5 416: 100% 341/341 [00:14<00:00, 23.72it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.60it/s] all 261 1002 0.743 0.619 0.678 0.381 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 125/199 0.461G 0.0252 0.009034 0.01266 4 416: 100% 341/341 [00:13<00:00, 24.92it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.03it/s] all 261 1002 0.706 0.608 0.688 0.383 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 126/199 0.461G 0.02643 0.009706 0.01258 2 416: 100% 341/341 [00:14<00:00, 24.01it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.77it/s] all 261 1002 0.74 0.602 0.683 0.387 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 127/199 0.461G 0.02577 0.009329 0.01221 4 416: 100% 341/341 [00:14<00:00, 24.14it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.57it/s] all 261 1002 0.81 0.594 0.714 0.381 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 128/199 0.461G 0.02514 0.009452 0.0116 4 416: 100% 341/341 [00:13<00:00, 24.60it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.71it/s] all 261 1002 0.79 0.579 0.696 0.384 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 129/199 0.461G 0.02605 0.009415 0.0124 3 416: 100% 341/341 [00:14<00:00, 23.60it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.65it/s] all 261 1002 0.776 0.63 0.724 0.411 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 130/199 0.461G 0.02502 0.009257 0.01178 4 416: 100% 341/341 [00:14<00:00, 24.21it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.15it/s] all 261 1002 0.803 0.565 0.7 0.392 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 131/199 0.461G 0.02451 0.009037 0.01133 8 416: 100% 341/341 [00:14<00:00, 24.18it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.56it/s] all 261 1002 0.761 0.599 0.712 0.395 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 132/199 0.461G 0.02525 0.00929 0.0118 2 416: 100% 341/341 [00:14<00:00, 23.97it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.43it/s] all 261 1002 0.77 0.603 0.719 0.406 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 133/199 0.461G 0.02555 0.009212 0.01205 12 416: 100% 341/341 [00:14<00:00, 23.30it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.71it/s] all 261 1002 0.757 0.592 0.7 0.387 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 134/199 0.461G 0.02495 0.009802 0.01163 1 416: 100% 341/341 [00:14<00:00, 24.02it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.65it/s] all 261 1002 0.773 0.612 0.725 0.403 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 135/199 0.461G 0.02536 0.009394 0.01088 3 416: 100% 341/341 [00:14<00:00, 23.19it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.30it/s] all 261 1002 0.748 0.635 0.722 0.416 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 136/199 0.461G 0.02517 0.008935 0.0107 5 416: 100% 341/341 [00:14<00:00, 23.21it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.27it/s] all 261 1002 0.746 0.634 0.734 0.413 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 137/199 0.461G 0.02484 0.009308 0.0115 1 416: 100% 341/341 [00:14<00:00, 23.65it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.63it/s] all 261 1002 0.8 0.615 0.735 0.414 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 138/199 0.461G 0.02482 0.009305 0.01131 0 416: 100% 341/341 [00:14<00:00, 23.67it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.95it/s] all 261 1002 0.744 0.651 0.736 0.416 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 139/199 0.461G 0.02492 0.008514 0.01097 2 416: 100% 341/341 [00:14<00:00, 23.45it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.26it/s] all 261 1002 0.641 0.684 0.738 0.412 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 140/199 0.461G 0.02514 0.009038 0.01069 4 416: 100% 341/341 [00:14<00:00, 23.89it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.79it/s] all 261 1002 0.77 0.633 0.74 0.422 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 141/199 0.461G 0.02477 0.008779 0.01086 14 416: 100% 341/341 [00:14<00:00, 23.74it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.55it/s] all 261 1002 0.828 0.604 0.753 0.429 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 142/199 0.461G 0.02344 0.008668 0.01044 0 416: 100% 341/341 [00:14<00:00, 23.22it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.29it/s] all 261 1002 0.816 0.639 0.759 0.419 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 143/199 0.461G 0.02512 0.009378 0.01095 1 416: 100% 341/341 [00:14<00:00, 23.25it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.56it/s] all 261 1002 0.749 0.674 0.762 0.422 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 144/199 0.461G 0.02467 0.009035 0.01112 1 416: 100% 341/341 [00:14<00:00, 23.32it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.51it/s] all 261 1002 0.731 0.656 0.744 0.409 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 145/199 0.461G 0.02532 0.008997 0.01086 3 416: 100% 341/341 [00:14<00:00, 24.02it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.37it/s] all 261 1002 0.686 0.688 0.76 0.434 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 146/199 0.461G 0.02488 0.009312 0.01056 2 416: 100% 341/341 [00:14<00:00, 24.04it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.77it/s] all 261 1002 0.76 0.68 0.776 0.447 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 147/199 0.461G 0.02393 0.008659 0.009485 1 416: 100% 341/341 [00:14<00:00, 23.38it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.35it/s] all 261 1002 0.838 0.63 0.782 0.442 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 148/199 0.461G 0.02459 0.009024 0.01015 1 416: 100% 341/341 [00:14<00:00, 23.22it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.59it/s] all 261 1002 0.833 0.613 0.771 0.434 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 149/199 0.461G 0.02537 0.009049 0.009832 2 416: 100% 341/341 [00:14<00:00, 23.05it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.89it/s] all 261 1002 0.756 0.671 0.761 0.44 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 150/199 0.461G 0.02408 0.008637 0.009655 5 416: 100% 341/341 [00:14<00:00, 23.80it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.48it/s] all 261 1002 0.858 0.659 0.793 0.45 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 151/199 0.461G 0.02431 0.008693 0.009161 0 416: 100% 341/341 [00:14<00:00, 24.05it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.75it/s] all 261 1002 0.773 0.682 0.775 0.448 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 152/199 0.461G 0.02397 0.008514 0.009047 12 416: 100% 341/341 [00:14<00:00, 23.34it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.65it/s] all 261 1002 0.833 0.658 0.781 0.447 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 153/199 0.461G 0.02438 0.00866 0.009672 1 416: 100% 341/341 [00:14<00:00, 23.88it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.75it/s] all 261 1002 0.777 0.685 0.784 0.446 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 154/199 0.461G 0.02346 0.008657 0.009374 15 416: 100% 341/341 [00:14<00:00, 24.34it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.13it/s] all 261 1002 0.741 0.724 0.785 0.45 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 155/199 0.461G 0.02385 0.008389 0.009672 2 416: 100% 341/341 [00:13<00:00, 24.43it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.48it/s] all 261 1002 0.759 0.708 0.778 0.446 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 156/199 0.461G 0.02376 0.009064 0.00929 3 416: 100% 341/341 [00:14<00:00, 24.16it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.22it/s] all 261 1002 0.73 0.747 0.796 0.466 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 157/199 0.461G 0.02389 0.008654 0.009424 7 416: 100% 341/341 [00:13<00:00, 24.55it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.60it/s] all 261 1002 0.762 0.721 0.797 0.464 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 158/199 0.461G 0.02426 0.008503 0.009283 1 416: 100% 341/341 [00:14<00:00, 23.65it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.48it/s] all 261 1002 0.693 0.72 0.774 0.447 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 159/199 0.461G 0.02365 0.00873 0.009154 14 416: 100% 341/341 [00:13<00:00, 24.59it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.73it/s] all 261 1002 0.728 0.708 0.776 0.461 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 160/199 0.461G 0.02377 0.009078 0.008498 1 416: 100% 341/341 [00:14<00:00, 24.27it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.26it/s] all 261 1002 0.821 0.658 0.781 0.46 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 161/199 0.461G 0.02312 0.009009 0.008677 15 416: 100% 341/341 [00:14<00:00, 24.13it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.70it/s] all 261 1002 0.739 0.742 0.791 0.466 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 162/199 0.461G 0.0238 0.0093 0.00986 6 416: 100% 341/341 [00:13<00:00, 24.47it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.17it/s] all 261 1002 0.674 0.717 0.775 0.449 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 163/199 0.461G 0.02338 0.008393 0.008328 5 416: 100% 341/341 [00:14<00:00, 24.19it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.38it/s] all 261 1002 0.783 0.696 0.793 0.46 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 164/199 0.461G 0.02408 0.008491 0.00924 2 416: 100% 341/341 [00:14<00:00, 23.94it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.41it/s] all 261 1002 0.709 0.727 0.784 0.463 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 165/199 0.461G 0.02335 0.008811 0.008416 2 416: 100% 341/341 [00:14<00:00, 24.25it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.03it/s] all 261 1002 0.774 0.727 0.809 0.48 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 166/199 0.461G 0.0237 0.009171 0.008622 1 416: 100% 341/341 [00:14<00:00, 23.57it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.93it/s] all 261 1002 0.825 0.718 0.815 0.484 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 167/199 0.461G 0.02353 0.008694 0.00895 17 416: 100% 341/341 [00:14<00:00, 23.30it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.90it/s] all 261 1002 0.76 0.749 0.817 0.491 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 168/199 0.461G 0.02291 0.008405 0.008293 0 416: 100% 341/341 [00:14<00:00, 23.81it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.14it/s] all 261 1002 0.79 0.715 0.816 0.478 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 169/199 0.461G 0.02344 0.009163 0.008744 11 416: 100% 341/341 [00:14<00:00, 24.02it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.57it/s] all 261 1002 0.777 0.734 0.819 0.481 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 170/199 0.461G 0.02262 0.008696 0.008516 6 416: 100% 341/341 [00:14<00:00, 24.32it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.08it/s] all 261 1002 0.786 0.748 0.823 0.484 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 171/199 0.461G 0.02294 0.008505 0.008847 5 416: 100% 341/341 [00:14<00:00, 24.00it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.54it/s] all 261 1002 0.775 0.755 0.833 0.5 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 172/199 0.461G 0.02345 0.008402 0.008401 2 416: 100% 341/341 [00:14<00:00, 24.06it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.67it/s] all 261 1002 0.812 0.782 0.846 0.505 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 173/199 0.461G 0.02259 0.008452 0.008854 2 416: 100% 341/341 [00:14<00:00, 23.79it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.31it/s] all 261 1002 0.799 0.763 0.832 0.503 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 174/199 0.461G 0.02254 0.008283 0.008362 5 416: 100% 341/341 [00:14<00:00, 24.10it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.14it/s] all 261 1002 0.81 0.744 0.83 0.496 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 175/199 0.461G 0.02307 0.008519 0.008161 2 416: 100% 341/341 [00:14<00:00, 23.25it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.52it/s] all 261 1002 0.835 0.722 0.825 0.488 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 176/199 0.461G 0.02291 0.008378 0.00759 2 416: 100% 341/341 [00:14<00:00, 23.92it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.86it/s] all 261 1002 0.811 0.732 0.829 0.5 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 177/199 0.461G 0.02242 0.008403 0.007901 2 416: 100% 341/341 [00:14<00:00, 23.95it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.28it/s] all 261 1002 0.822 0.74 0.821 0.494 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 178/199 0.461G 0.02289 0.008716 0.008418 3 416: 100% 341/341 [00:14<00:00, 23.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.91it/s] all 261 1002 0.806 0.75 0.828 0.482 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 179/199 0.461G 0.02211 0.008767 0.008006 8 416: 100% 341/341 [00:14<00:00, 23.60it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.48it/s] all 261 1002 0.832 0.74 0.833 0.504 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 180/199 0.461G 0.02229 0.008467 0.007622 2 416: 100% 341/341 [00:14<00:00, 23.73it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.63it/s] all 261 1002 0.826 0.763 0.845 0.509 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 181/199 0.461G 0.02236 0.008645 0.007862 2 416: 100% 341/341 [00:14<00:00, 24.22it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.03it/s] all 261 1002 0.836 0.764 0.847 0.501 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 182/199 0.461G 0.02273 0.008093 0.007415 4 416: 100% 341/341 [00:14<00:00, 24.17it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.22it/s] all 261 1002 0.843 0.759 0.846 0.513 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 183/199 0.461G 0.02273 0.008459 0.00732 2 416: 100% 341/341 [00:14<00:00, 23.79it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.48it/s] all 261 1002 0.812 0.754 0.839 0.515 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 184/199 0.461G 0.02284 0.009002 0.007302 1 416: 100% 341/341 [00:14<00:00, 23.39it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.58it/s] all 261 1002 0.835 0.753 0.841 0.51 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 185/199 0.461G 0.0224 0.008208 0.007142 1 416: 100% 341/341 [00:14<00:00, 23.47it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.91it/s] all 261 1002 0.844 0.74 0.839 0.507 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 186/199 0.461G 0.02196 0.008374 0.007358 5 416: 100% 341/341 [00:14<00:00, 23.97it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.39it/s] all 261 1002 0.836 0.748 0.842 0.511 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 187/199 0.461G 0.02287 0.008329 0.007453 4 416: 100% 341/341 [00:14<00:00, 23.44it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.24it/s] all 261 1002 0.84 0.753 0.84 0.506 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 188/199 0.461G 0.02113 0.00806 0.006886 10 416: 100% 341/341 [00:14<00:00, 24.18it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.55it/s] all 261 1002 0.82 0.776 0.849 0.517 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 189/199 0.461G 0.02152 0.007902 0.007306 3 416: 100% 341/341 [00:14<00:00, 23.98it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.36it/s] all 261 1002 0.805 0.761 0.841 0.514 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 190/199 0.461G 0.02251 0.008346 0.007309 8 416: 100% 341/341 [00:14<00:00, 23.34it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.65it/s] all 261 1002 0.782 0.796 0.851 0.514 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 191/199 0.461G 0.02182 0.008222 0.007294 0 416: 100% 341/341 [00:14<00:00, 23.64it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.37it/s] all 261 1002 0.773 0.799 0.843 0.511 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 192/199 0.461G 0.02221 0.008511 0.00769 4 416: 100% 341/341 [00:14<00:00, 24.17it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.81it/s] all 261 1002 0.75 0.793 0.846 0.519 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 193/199 0.461G 0.02146 0.008546 0.006938 5 416: 100% 341/341 [00:14<00:00, 24.06it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.24it/s] all 261 1002 0.791 0.782 0.844 0.516 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 194/199 0.461G 0.02185 0.007996 0.007487 2 416: 100% 341/341 [00:14<00:00, 24.01it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.34it/s] all 261 1002 0.803 0.762 0.835 0.515 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 195/199 0.461G 0.02119 0.007859 0.007616 5 416: 100% 341/341 [00:14<00:00, 24.22it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.49it/s] all 261 1002 0.813 0.774 0.847 0.511 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 196/199 0.461G 0.02145 0.008172 0.007844 9 416: 100% 341/341 [00:14<00:00, 23.79it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.97it/s] all 261 1002 0.789 0.785 0.851 0.511 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 197/199 0.461G 0.02123 0.008556 0.006673 2 416: 100% 341/341 [00:14<00:00, 24.11it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.61it/s] all 261 1002 0.795 0.785 0.854 0.523 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 198/199 0.461G 0.02171 0.008275 0.006916 2 416: 100% 341/341 [00:14<00:00, 24.16it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.67it/s] all 261 1002 0.812 0.775 0.847 0.523 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 199/199 0.461G 0.02112 0.008293 0.007483 2 416: 100% 341/341 [00:14<00:00, 24.20it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.20it/s] all 261 1002 0.815 0.784 0.849 0.522 200 epochs completed in 0.952 hours. Optimizer stripped from runs/train/exp/weights/last.pt, 14.4MB Optimizer stripped from runs/train/exp/weights/best.pt, 14.4MB Validating runs/train/exp/weights/best.pt... Fusing layers... Model summary: 157 layers, 7031701 parameters, 0 gradients, 15.8 GFLOPs Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 18.36it/s] all 261 1002 0.793 0.786 0.854 0.522 car 261 372 0.898 0.83 0.917 0.532 pickup 261 241 0.724 0.892 0.904 0.57 camping 261 129 0.831 0.907 0.955 0.634 truck 261 68 0.715 0.956 0.947 0.636 other 261 45 0.747 0.789 0.79 0.476 tractor 261 40 0.799 0.793 0.821 0.402 boat 261 75 0.773 0.747 0.821 0.482 van 261 32 0.859 0.375 0.679 0.444 Results saved to runs/train/exp
In [2]:
p_yol5s = 0.793
r_yol5s = 0.786
mAP_yolo5s = 0.854
In [14]:
storeResults('YoloV5S',p_yol5s,r_yol5s,mAP_yolo5s)
In [12]:
# dislaying metrics for train data
from IPython.display import Image
from IPython.display import display
x = Image(filename='runs/train/exp/F1_curve.png')
y = Image(filename='runs/train/exp/PR_curve.png')
z = Image(filename='runs/train/exp/confusion_matrix.png')
display(x, y,z)
Yolov5m¶
In [13]:
!wandb disabled
!python train.py --img 416 --batch 2 --epochs 200 --data /content/drive/MyDrive/16/yolo/data.yaml --weights yolov5m.pt --cache --workers 2
/bin/bash: line 1: wandb: command not found train: weights=yolov5m.pt, cfg=, data=/content/drive/MyDrive/16/yolo/data.yaml, hyp=data/hyps/hyp.scratch-low.yaml, epochs=200, batch_size=2, imgsz=416, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, noplots=False, evolve=None, bucket=, cache=ram, image_weights=False, device=, multi_scale=False, single_cls=False, optimizer=SGD, sync_bn=False, workers=2, project=runs/train, name=exp, exist_ok=False, quad=False, cos_lr=False, label_smoothing=0.0, patience=100, freeze=[0], save_period=-1, seed=0, local_rank=-1, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest github: up to date with https://github.com/ultralytics/yolov5 ✅ YOLOv5 🚀 v7.0-226-gdd9e338 Python-3.10.12 torch-2.0.1+cu118 CUDA:0 (Tesla T4, 15102MiB) hyperparameters: lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=0.05, cls=0.5, cls_pw=1.0, obj=1.0, obj_pw=1.0, iou_t=0.2, anchor_t=4.0, fl_gamma=0.0, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0 Comet: run 'pip install comet_ml' to automatically track and visualize YOLOv5 🚀 runs in Comet TensorBoard: Start with 'tensorboard --logdir runs/train', view at http://localhost:6006/ Downloading https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov5m.pt to yolov5m.pt... 100% 40.8M/40.8M [00:02<00:00, 18.2MB/s] Overriding model.yaml nc=80 with nc=8 from n params module arguments 0 -1 1 5280 models.common.Conv [3, 48, 6, 2, 2] 1 -1 1 41664 models.common.Conv [48, 96, 3, 2] 2 -1 2 65280 models.common.C3 [96, 96, 2] 3 -1 1 166272 models.common.Conv [96, 192, 3, 2] 4 -1 4 444672 models.common.C3 [192, 192, 4] 5 -1 1 664320 models.common.Conv [192, 384, 3, 2] 6 -1 6 2512896 models.common.C3 [384, 384, 6] 7 -1 1 2655744 models.common.Conv [384, 768, 3, 2] 8 -1 2 4134912 models.common.C3 [768, 768, 2] 9 -1 1 1476864 models.common.SPPF [768, 768, 5] 10 -1 1 295680 models.common.Conv [768, 384, 1, 1] 11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] 12 [-1, 6] 1 0 models.common.Concat [1] 13 -1 2 1182720 models.common.C3 [768, 384, 2, False] 14 -1 1 74112 models.common.Conv [384, 192, 1, 1] 15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] 16 [-1, 4] 1 0 models.common.Concat [1] 17 -1 2 296448 models.common.C3 [384, 192, 2, False] 18 -1 1 332160 models.common.Conv [192, 192, 3, 2] 19 [-1, 14] 1 0 models.common.Concat [1] 20 -1 2 1035264 models.common.C3 [384, 384, 2, False] 21 -1 1 1327872 models.common.Conv [384, 384, 3, 2] 22 [-1, 10] 1 0 models.common.Concat [1] 23 -1 2 4134912 models.common.C3 [768, 768, 2, False] 24 [17, 20, 23] 1 52533 models.yolo.Detect [8, [[10, 13, 16, 30, 33, 23], [30, 61, 62, 45, 59, 119], [116, 90, 156, 198, 373, 326]], [192, 384, 768]] Model summary: 291 layers, 20899605 parameters, 20899605 gradients, 48.3 GFLOPs Transferred 475/481 items from yolov5m.pt AMP: checks passed ✅ optimizer: SGD(lr=0.01) with parameter groups 79 weight(decay=0.0), 82 weight(decay=0.0005), 82 bias albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8)) train: Scanning /content/drive/MyDrive/16/yolo/train/labels.cache... 691 images, 11 backgrounds, 10 corrupt: 100% 691/691 [00:00<?, ?it/s] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000033.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0004] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000044.png: ignoring corrupt image/label: negative label values [ -0.0036738] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000111.png: ignoring corrupt image/label: negative label values [-5.7568e-05] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000219.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0015] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000281.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0083] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000338.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0045] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000463.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.001] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000484.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0029] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000550.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0095] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000614.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0007] train: Caching images (0.3GB ram): 100% 681/681 [00:01<00:00, 483.81it/s] val: Scanning /content/drive/MyDrive/16/yolo/valid/labels.cache... 265 images, 9 backgrounds, 4 corrupt: 100% 265/265 [00:00<?, ?it/s] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000033.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0004] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000044.png: ignoring corrupt image/label: negative label values [ -0.0036738] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000111.png: ignoring corrupt image/label: negative label values [-5.7568e-05] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000219.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0015] val: Caching images (0.1GB ram): 100% 261/261 [00:00<00:00, 320.38it/s] AutoAnchor: 3.41 anchors/target, 1.000 Best Possible Recall (BPR). Current anchors are a good fit to dataset ✅ Plotting labels to runs/train/exp2/labels.jpg... Image sizes 416 train, 416 val Using 2 dataloader workers Logging results to runs/train/exp2 Starting training for 200 epochs... Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 0/199 0.803G 0.07858 0.01416 0.03657 4 416: 100% 341/341 [00:22<00:00, 15.00it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.00it/s] all 261 1002 0.000164 0.0178 9.15e-05 2.02e-05 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 1/199 0.805G 0.06123 0.01616 0.03322 9 416: 100% 341/341 [00:17<00:00, 19.06it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.56it/s] all 261 1002 0.00456 0.331 0.00567 0.00133 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 2/199 0.805G 0.05393 0.01483 0.03183 2 416: 100% 341/341 [00:18<00:00, 18.46it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.96it/s] all 261 1002 0.456 0.0682 0.0673 0.0241 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 3/199 0.805G 0.04921 0.01444 0.03185 3 416: 100% 341/341 [00:18<00:00, 18.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.18it/s] all 261 1002 0.505 0.181 0.0996 0.0347 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 4/199 0.805G 0.04441 0.01371 0.03143 3 416: 100% 341/341 [00:17<00:00, 19.32it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.01it/s] all 261 1002 0.485 0.168 0.104 0.0265 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 5/199 0.805G 0.04165 0.01365 0.03068 6 416: 100% 341/341 [00:18<00:00, 18.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.79it/s] all 261 1002 0.386 0.198 0.155 0.0565 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 6/199 0.805G 0.03948 0.01306 0.03018 8 416: 100% 341/341 [00:17<00:00, 19.14it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.15it/s] all 261 1002 0.385 0.227 0.172 0.0798 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 7/199 0.805G 0.03962 0.01305 0.03043 4 416: 100% 341/341 [00:18<00:00, 18.66it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.14it/s] all 261 1002 0.528 0.259 0.18 0.0762 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 8/199 0.805G 0.0359 0.01265 0.02914 2 416: 100% 341/341 [00:17<00:00, 19.28it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.54it/s] all 261 1002 0.541 0.239 0.182 0.0759 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 9/199 0.805G 0.03722 0.0127 0.02896 17 416: 100% 341/341 [00:18<00:00, 18.68it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.03it/s] all 261 1002 0.556 0.269 0.205 0.0843 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 10/199 0.805G 0.03553 0.01193 0.02716 6 416: 100% 341/341 [00:17<00:00, 18.96it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.82it/s] all 261 1002 0.58 0.309 0.237 0.102 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 11/199 0.805G 0.03477 0.01215 0.02636 2 416: 100% 341/341 [00:17<00:00, 19.23it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.09it/s] all 261 1002 0.57 0.313 0.257 0.119 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 12/199 0.805G 0.03461 0.01172 0.02678 13 416: 100% 341/341 [00:18<00:00, 18.72it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.29it/s] all 261 1002 0.58 0.295 0.255 0.113 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 13/199 0.805G 0.03448 0.01129 0.02599 2 416: 100% 341/341 [00:18<00:00, 18.92it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.72it/s] all 261 1002 0.563 0.308 0.266 0.113 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 14/199 0.805G 0.03496 0.01154 0.02539 5 416: 100% 341/341 [00:18<00:00, 18.57it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.48it/s] all 261 1002 0.376 0.335 0.262 0.123 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 15/199 0.805G 0.03431 0.01237 0.02529 4 416: 100% 341/341 [00:18<00:00, 18.69it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.95it/s] all 261 1002 0.383 0.332 0.293 0.127 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 16/199 0.805G 0.03362 0.01136 0.02486 1 416: 100% 341/341 [00:18<00:00, 18.43it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.87it/s] all 261 1002 0.477 0.383 0.295 0.14 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 17/199 0.805G 0.03253 0.0115 0.02403 0 416: 100% 341/341 [00:18<00:00, 18.62it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 22.97it/s] all 261 1002 0.445 0.368 0.323 0.163 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 18/199 0.805G 0.03237 0.01161 0.02412 2 416: 100% 341/341 [00:18<00:00, 18.80it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.60it/s] all 261 1002 0.36 0.376 0.316 0.153 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 19/199 0.805G 0.03358 0.01137 0.02391 6 416: 100% 341/341 [00:18<00:00, 18.58it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.21it/s] all 261 1002 0.386 0.405 0.325 0.157 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 20/199 0.805G 0.03119 0.01125 0.02394 4 416: 100% 341/341 [00:18<00:00, 18.87it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.52it/s] all 261 1002 0.456 0.369 0.336 0.154 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 21/199 0.805G 0.03302 0.01177 0.02362 15 416: 100% 341/341 [00:18<00:00, 18.82it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.24it/s] all 261 1002 0.402 0.393 0.347 0.17 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 22/199 0.805G 0.03019 0.01042 0.02277 0 416: 100% 341/341 [00:18<00:00, 18.90it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.97it/s] all 261 1002 0.456 0.377 0.345 0.17 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 23/199 0.805G 0.03101 0.01105 0.02235 1 416: 100% 341/341 [00:18<00:00, 18.40it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.28it/s] all 261 1002 0.476 0.39 0.343 0.173 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 24/199 0.805G 0.03311 0.01166 0.02399 2 416: 100% 341/341 [00:18<00:00, 18.53it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.58it/s] all 261 1002 0.534 0.39 0.379 0.185 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 25/199 0.805G 0.03276 0.01088 0.02249 12 416: 100% 341/341 [00:18<00:00, 18.53it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.25it/s] all 261 1002 0.442 0.423 0.385 0.184 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 26/199 0.805G 0.03194 0.01112 0.02293 9 416: 100% 341/341 [00:18<00:00, 18.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.09it/s] all 261 1002 0.517 0.345 0.369 0.173 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 27/199 0.805G 0.03105 0.01061 0.02223 1 416: 100% 341/341 [00:18<00:00, 18.66it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.05it/s] all 261 1002 0.633 0.383 0.406 0.187 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 28/199 0.805G 0.02975 0.01026 0.02192 0 416: 100% 341/341 [00:18<00:00, 18.60it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.94it/s] all 261 1002 0.473 0.398 0.396 0.191 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 29/199 0.805G 0.02949 0.01038 0.02133 0 416: 100% 341/341 [00:18<00:00, 18.91it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.60it/s] all 261 1002 0.712 0.347 0.391 0.201 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 30/199 0.805G 0.02936 0.01063 0.0208 0 416: 100% 341/341 [00:18<00:00, 18.65it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.34it/s] all 261 1002 0.685 0.363 0.393 0.209 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 31/199 0.805G 0.02984 0.01059 0.02122 6 416: 100% 341/341 [00:18<00:00, 18.35it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.02it/s] all 261 1002 0.618 0.407 0.412 0.217 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 32/199 0.805G 0.03059 0.01099 0.02098 2 416: 100% 341/341 [00:18<00:00, 18.81it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.79it/s] all 261 1002 0.754 0.376 0.45 0.224 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 33/199 0.805G 0.0294 0.01019 0.02052 1 416: 100% 341/341 [00:18<00:00, 18.92it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.59it/s] all 261 1002 0.445 0.531 0.44 0.219 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 34/199 0.805G 0.03046 0.0104 0.02061 1 416: 100% 341/341 [00:18<00:00, 18.30it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.99it/s] all 261 1002 0.458 0.502 0.45 0.227 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 35/199 0.805G 0.02982 0.01044 0.02002 1 416: 100% 341/341 [00:18<00:00, 18.05it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.56it/s] all 261 1002 0.513 0.466 0.455 0.232 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 36/199 0.805G 0.02913 0.0105 0.02073 13 416: 100% 341/341 [00:18<00:00, 18.44it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 22.88it/s] all 261 1002 0.524 0.468 0.457 0.24 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 37/199 0.805G 0.0296 0.01028 0.01901 0 416: 100% 341/341 [00:18<00:00, 18.60it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.30it/s] all 261 1002 0.491 0.521 0.449 0.206 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 38/199 0.805G 0.0294 0.01032 0.02043 6 416: 100% 341/341 [00:18<00:00, 18.55it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.96it/s] all 261 1002 0.503 0.486 0.441 0.214 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 39/199 0.805G 0.02921 0.01021 0.01995 9 416: 100% 341/341 [00:18<00:00, 18.22it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.59it/s] all 261 1002 0.528 0.509 0.47 0.236 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 40/199 0.805G 0.02853 0.01028 0.01933 6 416: 100% 341/341 [00:18<00:00, 18.55it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.88it/s] all 261 1002 0.487 0.497 0.45 0.211 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 41/199 0.805G 0.02941 0.01092 0.01974 3 416: 100% 341/341 [00:18<00:00, 18.67it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.79it/s] all 261 1002 0.527 0.532 0.499 0.248 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 42/199 0.805G 0.03009 0.01036 0.01935 0 416: 100% 341/341 [00:18<00:00, 18.51it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.45it/s] all 261 1002 0.524 0.569 0.524 0.285 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 43/199 0.805G 0.0281 0.0106 0.0193 7 416: 100% 341/341 [00:18<00:00, 18.65it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.30it/s] all 261 1002 0.671 0.47 0.508 0.256 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 44/199 0.805G 0.02792 0.009829 0.01882 4 416: 100% 341/341 [00:18<00:00, 18.48it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.36it/s] all 261 1002 0.574 0.518 0.486 0.239 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 45/199 0.805G 0.02829 0.01022 0.01852 2 416: 100% 341/341 [00:18<00:00, 18.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.89it/s] all 261 1002 0.58 0.517 0.51 0.263 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 46/199 0.805G 0.02701 0.009353 0.0176 7 416: 100% 341/341 [00:18<00:00, 18.86it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.13it/s] all 261 1002 0.592 0.549 0.552 0.279 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 47/199 0.805G 0.02802 0.009611 0.0191 2 416: 100% 341/341 [00:18<00:00, 18.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.63it/s] all 261 1002 0.598 0.534 0.559 0.288 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 48/199 0.805G 0.02724 0.009568 0.01713 0 416: 100% 341/341 [00:17<00:00, 18.95it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.22it/s] all 261 1002 0.601 0.56 0.561 0.272 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 49/199 0.805G 0.02775 0.009909 0.01705 3 416: 100% 341/341 [00:18<00:00, 18.30it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.12it/s] all 261 1002 0.646 0.577 0.593 0.307 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 50/199 0.805G 0.02808 0.009737 0.01798 6 416: 100% 341/341 [00:18<00:00, 18.90it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.44it/s] all 261 1002 0.613 0.587 0.578 0.311 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 51/199 0.805G 0.0288 0.01025 0.01763 3 416: 100% 341/341 [00:18<00:00, 18.62it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.58it/s] all 261 1002 0.614 0.566 0.569 0.295 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 52/199 0.805G 0.02697 0.00943 0.01776 13 416: 100% 341/341 [00:18<00:00, 18.14it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.32it/s] all 261 1002 0.671 0.566 0.582 0.298 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 53/199 0.807G 0.02786 0.00988 0.01584 6 416: 100% 341/341 [00:18<00:00, 18.79it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.84it/s] all 261 1002 0.667 0.563 0.582 0.31 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 54/199 0.807G 0.02875 0.009189 0.0171 2 416: 100% 341/341 [00:18<00:00, 18.63it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.59it/s] all 261 1002 0.608 0.567 0.559 0.272 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 55/199 0.807G 0.0266 0.009698 0.01563 0 416: 100% 341/341 [00:18<00:00, 18.79it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.20it/s] all 261 1002 0.713 0.615 0.646 0.342 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 56/199 0.807G 0.02725 0.00975 0.01621 5 416: 100% 341/341 [00:18<00:00, 18.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.43it/s] all 261 1002 0.7 0.606 0.63 0.337 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 57/199 0.807G 0.02699 0.009817 0.01602 2 416: 100% 341/341 [00:17<00:00, 19.01it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 22.87it/s] all 261 1002 0.713 0.563 0.61 0.317 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 58/199 0.807G 0.02792 0.01002 0.01584 1 416: 100% 341/341 [00:18<00:00, 18.58it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.06it/s] all 261 1002 0.648 0.501 0.527 0.253 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 59/199 0.807G 0.02766 0.01007 0.01692 1 416: 100% 341/341 [00:18<00:00, 18.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.48it/s] all 261 1002 0.682 0.606 0.629 0.337 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 60/199 0.807G 0.02742 0.009734 0.01685 5 416: 100% 341/341 [00:18<00:00, 18.89it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.87it/s] all 261 1002 0.719 0.581 0.654 0.353 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 61/199 0.807G 0.0278 0.009978 0.01618 3 416: 100% 341/341 [00:18<00:00, 18.64it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.47it/s] all 261 1002 0.693 0.596 0.637 0.343 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 62/199 0.807G 0.02681 0.009601 0.01501 0 416: 100% 341/341 [00:17<00:00, 19.03it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.94it/s] all 261 1002 0.728 0.58 0.644 0.338 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 63/199 0.807G 0.02591 0.00924 0.01411 2 416: 100% 341/341 [00:18<00:00, 18.88it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.42it/s] all 261 1002 0.663 0.567 0.596 0.307 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 64/199 0.807G 0.02681 0.009575 0.01512 3 416: 100% 341/341 [00:18<00:00, 18.80it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.37it/s] all 261 1002 0.704 0.563 0.633 0.335 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 65/199 0.807G 0.02745 0.009494 0.01506 6 416: 100% 341/341 [00:18<00:00, 18.73it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.22it/s] all 261 1002 0.73 0.585 0.652 0.335 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 66/199 0.807G 0.0272 0.009759 0.01539 10 416: 100% 341/341 [00:18<00:00, 18.73it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.42it/s] all 261 1002 0.784 0.579 0.675 0.376 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 67/199 0.807G 0.02739 0.01004 0.0152 2 416: 100% 341/341 [00:18<00:00, 18.79it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.37it/s] all 261 1002 0.767 0.586 0.651 0.333 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 68/199 0.807G 0.02723 0.008981 0.01443 1 416: 100% 341/341 [00:18<00:00, 18.73it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 22.99it/s] all 261 1002 0.732 0.537 0.638 0.317 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 69/199 0.807G 0.02602 0.009214 0.01411 0 416: 100% 341/341 [00:18<00:00, 18.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.37it/s] all 261 1002 0.723 0.575 0.65 0.348 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 70/199 0.807G 0.02617 0.00988 0.01497 2 416: 100% 341/341 [00:18<00:00, 18.48it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.01it/s] all 261 1002 0.717 0.618 0.669 0.369 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 71/199 0.807G 0.02699 0.009326 0.0147 3 416: 100% 341/341 [00:18<00:00, 18.67it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.98it/s] all 261 1002 0.732 0.581 0.666 0.337 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 72/199 0.807G 0.02676 0.01007 0.01478 5 416: 100% 341/341 [00:18<00:00, 18.56it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.56it/s] all 261 1002 0.747 0.668 0.695 0.379 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 73/199 0.807G 0.02624 0.008984 0.01449 2 416: 100% 341/341 [00:18<00:00, 18.51it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.05it/s] all 261 1002 0.728 0.59 0.682 0.382 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 74/199 0.807G 0.02622 0.009225 0.01279 6 416: 100% 341/341 [00:18<00:00, 18.72it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.07it/s] all 261 1002 0.783 0.599 0.701 0.391 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 75/199 0.807G 0.02659 0.009346 0.01301 2 416: 100% 341/341 [00:18<00:00, 18.55it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.50it/s] all 261 1002 0.786 0.59 0.694 0.381 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 76/199 0.807G 0.02604 0.009734 0.01331 2 416: 100% 341/341 [00:18<00:00, 18.64it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.60it/s] all 261 1002 0.775 0.604 0.693 0.388 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 77/199 0.807G 0.02603 0.00884 0.01315 1 416: 100% 341/341 [00:18<00:00, 18.44it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.66it/s] all 261 1002 0.774 0.584 0.706 0.386 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 78/199 0.807G 0.02502 0.009476 0.01246 8 416: 100% 341/341 [00:18<00:00, 18.62it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.22it/s] all 261 1002 0.75 0.622 0.707 0.391 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 79/199 0.807G 0.02572 0.008887 0.01249 2 416: 100% 341/341 [00:18<00:00, 18.66it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.07it/s] all 261 1002 0.778 0.604 0.708 0.386 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 80/199 0.807G 0.02519 0.009582 0.01329 0 416: 100% 341/341 [00:18<00:00, 18.74it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.50it/s] all 261 1002 0.764 0.602 0.681 0.397 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 81/199 0.807G 0.02614 0.009527 0.01301 4 416: 100% 341/341 [00:18<00:00, 18.52it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.56it/s] all 261 1002 0.782 0.615 0.719 0.395 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 82/199 0.807G 0.02479 0.009003 0.01246 5 416: 100% 341/341 [00:18<00:00, 18.56it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.34it/s] all 261 1002 0.809 0.631 0.734 0.394 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 83/199 0.807G 0.02592 0.009291 0.01185 5 416: 100% 341/341 [00:18<00:00, 18.68it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.38it/s] all 261 1002 0.784 0.606 0.73 0.402 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 84/199 0.807G 0.02683 0.009101 0.01216 1 416: 100% 341/341 [00:18<00:00, 18.47it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.18it/s] all 261 1002 0.835 0.606 0.744 0.42 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 85/199 0.807G 0.02553 0.009471 0.01192 3 416: 100% 341/341 [00:18<00:00, 18.28it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.28it/s] all 261 1002 0.809 0.62 0.745 0.412 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 86/199 0.807G 0.02586 0.008969 0.01242 6 416: 100% 341/341 [00:18<00:00, 18.81it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.43it/s] all 261 1002 0.855 0.629 0.778 0.446 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 87/199 0.807G 0.02505 0.008537 0.01222 3 416: 100% 341/341 [00:18<00:00, 18.88it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.30it/s] all 261 1002 0.868 0.599 0.754 0.422 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 88/199 0.807G 0.02563 0.009358 0.01258 8 416: 100% 341/341 [00:18<00:00, 18.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.68it/s] all 261 1002 0.782 0.619 0.717 0.4 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 89/199 0.807G 0.02505 0.008543 0.01177 10 416: 100% 341/341 [00:18<00:00, 18.74it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.97it/s] all 261 1002 0.843 0.651 0.772 0.445 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 90/199 0.807G 0.0247 0.009073 0.01165 3 416: 100% 341/341 [00:17<00:00, 19.02it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.06it/s] all 261 1002 0.836 0.64 0.761 0.433 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 91/199 0.807G 0.02341 0.008488 0.0107 1 416: 100% 341/341 [00:18<00:00, 18.70it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.39it/s] all 261 1002 0.843 0.652 0.757 0.43 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 92/199 0.807G 0.02417 0.008782 0.01047 5 416: 100% 341/341 [00:18<00:00, 18.45it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.99it/s] all 261 1002 0.767 0.611 0.725 0.416 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 93/199 0.807G 0.02483 0.008908 0.01117 0 416: 100% 341/341 [00:17<00:00, 19.01it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.92it/s] all 261 1002 0.793 0.627 0.76 0.437 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 94/199 0.807G 0.02559 0.008845 0.01088 13 416: 100% 341/341 [00:18<00:00, 18.61it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.13it/s] all 261 1002 0.825 0.634 0.746 0.431 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 95/199 0.807G 0.02479 0.008817 0.01049 2 416: 100% 341/341 [00:18<00:00, 18.51it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.13it/s] all 261 1002 0.854 0.627 0.776 0.443 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 96/199 0.807G 0.02467 0.008335 0.01058 5 416: 100% 341/341 [00:18<00:00, 18.61it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 22.59it/s] all 261 1002 0.84 0.646 0.764 0.43 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 97/199 0.807G 0.02515 0.008538 0.01054 2 416: 100% 341/341 [00:18<00:00, 18.74it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.88it/s] all 261 1002 0.855 0.652 0.766 0.438 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 98/199 0.807G 0.02438 0.009093 0.01086 1 416: 100% 341/341 [00:18<00:00, 18.67it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.82it/s] all 261 1002 0.849 0.644 0.779 0.451 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 99/199 0.807G 0.02347 0.008475 0.01018 3 416: 100% 341/341 [00:18<00:00, 18.51it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.95it/s] all 261 1002 0.835 0.657 0.782 0.44 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 100/199 0.807G 0.02347 0.007882 0.009276 3 416: 100% 341/341 [00:18<00:00, 18.92it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.37it/s] all 261 1002 0.861 0.655 0.79 0.457 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 101/199 0.807G 0.02468 0.008711 0.01043 11 416: 100% 341/341 [00:18<00:00, 18.52it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.02it/s] all 261 1002 0.845 0.679 0.792 0.449 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 102/199 0.807G 0.02315 0.008404 0.01083 11 416: 100% 341/341 [00:18<00:00, 18.65it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.90it/s] all 261 1002 0.885 0.668 0.808 0.473 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 103/199 0.807G 0.02412 0.00848 0.01016 2 416: 100% 341/341 [00:18<00:00, 18.70it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 22.31it/s] all 261 1002 0.868 0.658 0.804 0.475 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 104/199 0.807G 0.02456 0.00801 0.01033 9 416: 100% 341/341 [00:17<00:00, 19.02it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.55it/s] all 261 1002 0.863 0.66 0.788 0.449 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 105/199 0.807G 0.0243 0.009461 0.01002 14 416: 100% 341/341 [00:18<00:00, 18.56it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.78it/s] all 261 1002 0.845 0.688 0.811 0.481 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 106/199 0.807G 0.02376 0.008668 0.01037 7 416: 100% 341/341 [00:18<00:00, 18.54it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.73it/s] all 261 1002 0.879 0.669 0.814 0.482 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 107/199 0.807G 0.02366 0.008175 0.008722 3 416: 100% 341/341 [00:18<00:00, 18.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.21it/s] all 261 1002 0.88 0.689 0.822 0.47 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 108/199 0.807G 0.02485 0.008371 0.009492 8 416: 100% 341/341 [00:18<00:00, 18.26it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.23it/s] all 261 1002 0.861 0.686 0.818 0.49 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 109/199 0.807G 0.02369 0.00839 0.009285 7 416: 100% 341/341 [00:18<00:00, 18.55it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.51it/s] all 261 1002 0.869 0.674 0.807 0.477 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 110/199 0.807G 0.02287 0.008021 0.008893 0 416: 100% 341/341 [00:18<00:00, 18.81it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.66it/s] all 261 1002 0.905 0.696 0.817 0.487 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 111/199 0.807G 0.02317 0.008192 0.008613 4 416: 100% 341/341 [00:18<00:00, 18.92it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.11it/s] all 261 1002 0.861 0.683 0.793 0.461 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 112/199 0.807G 0.02306 0.008131 0.008408 0 416: 100% 341/341 [00:18<00:00, 18.91it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.11it/s] all 261 1002 0.896 0.703 0.807 0.469 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 113/199 0.807G 0.02336 0.008184 0.008327 1 416: 100% 341/341 [00:18<00:00, 18.57it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.11it/s] all 261 1002 0.85 0.711 0.824 0.491 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 114/199 0.807G 0.02312 0.008761 0.008435 0 416: 100% 341/341 [00:18<00:00, 18.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.81it/s] all 261 1002 0.88 0.66 0.796 0.453 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 115/199 0.807G 0.02251 0.007947 0.00844 1 416: 100% 341/341 [00:18<00:00, 18.91it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.39it/s] all 261 1002 0.902 0.677 0.819 0.495 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 116/199 0.807G 0.02339 0.008278 0.008446 10 416: 100% 341/341 [00:18<00:00, 18.44it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 22.88it/s] all 261 1002 0.893 0.717 0.849 0.519 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 117/199 0.807G 0.02286 0.008184 0.009475 1 416: 100% 341/341 [00:18<00:00, 18.90it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.16it/s] all 261 1002 0.903 0.713 0.827 0.492 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 118/199 0.807G 0.02383 0.008133 0.008888 6 416: 100% 341/341 [00:18<00:00, 18.22it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.36it/s] all 261 1002 0.858 0.741 0.835 0.499 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 119/199 0.807G 0.02299 0.008023 0.008096 1 416: 100% 341/341 [00:18<00:00, 18.47it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.52it/s] all 261 1002 0.91 0.678 0.837 0.508 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 120/199 0.807G 0.02193 0.008462 0.007845 2 416: 100% 341/341 [00:18<00:00, 18.94it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.74it/s] all 261 1002 0.888 0.714 0.855 0.519 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 121/199 0.807G 0.02313 0.008559 0.008141 6 416: 100% 341/341 [00:17<00:00, 18.97it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.75it/s] all 261 1002 0.898 0.705 0.847 0.506 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 122/199 0.807G 0.02224 0.007627 0.007914 2 416: 100% 341/341 [00:18<00:00, 18.56it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.52it/s] all 261 1002 0.901 0.695 0.849 0.519 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 123/199 0.807G 0.02357 0.007732 0.00797 3 416: 100% 341/341 [00:18<00:00, 18.61it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.58it/s] all 261 1002 0.871 0.717 0.836 0.505 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 124/199 0.807G 0.02251 0.008378 0.007542 5 416: 100% 341/341 [00:18<00:00, 18.66it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.14it/s] all 261 1002 0.894 0.696 0.831 0.505 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 125/199 0.807G 0.02244 0.00773 0.007535 4 416: 100% 341/341 [00:18<00:00, 18.80it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.54it/s] all 261 1002 0.736 0.83 0.865 0.507 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 126/199 0.807G 0.02356 0.008068 0.007866 2 416: 100% 341/341 [00:18<00:00, 18.54it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.16it/s] all 261 1002 0.728 0.843 0.868 0.534 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 127/199 0.807G 0.0224 0.0079 0.007657 4 416: 100% 341/341 [00:18<00:00, 18.60it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.75it/s] all 261 1002 0.731 0.815 0.871 0.528 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 128/199 0.807G 0.02198 0.00797 0.007516 4 416: 100% 341/341 [00:18<00:00, 18.48it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.58it/s] all 261 1002 0.903 0.708 0.872 0.542 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 129/199 0.807G 0.02296 0.007896 0.007986 3 416: 100% 341/341 [00:18<00:00, 18.28it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.57it/s] all 261 1002 0.78 0.81 0.875 0.551 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 130/199 0.807G 0.02218 0.007889 0.007641 4 416: 100% 341/341 [00:17<00:00, 19.05it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.71it/s] all 261 1002 0.786 0.826 0.876 0.528 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 131/199 0.807G 0.02143 0.007529 0.007038 8 416: 100% 341/341 [00:18<00:00, 18.70it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.45it/s] all 261 1002 0.822 0.809 0.889 0.556 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 132/199 0.807G 0.02197 0.007731 0.006787 2 416: 100% 341/341 [00:18<00:00, 18.68it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.52it/s] all 261 1002 0.763 0.834 0.887 0.567 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 133/199 0.807G 0.02273 0.007729 0.007278 12 416: 100% 341/341 [00:18<00:00, 18.55it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.31it/s] all 261 1002 0.811 0.832 0.889 0.542 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 134/199 0.807G 0.02185 0.008329 0.006697 1 416: 100% 341/341 [00:18<00:00, 18.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.37it/s] all 261 1002 0.853 0.827 0.896 0.556 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 135/199 0.807G 0.02243 0.007902 0.006928 3 416: 100% 341/341 [00:18<00:00, 18.55it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.62it/s] all 261 1002 0.783 0.809 0.887 0.545 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 136/199 0.807G 0.022 0.00746 0.007052 5 416: 100% 341/341 [00:18<00:00, 18.57it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.31it/s] all 261 1002 0.771 0.843 0.891 0.551 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 137/199 0.807G 0.02162 0.007909 0.007422 1 416: 100% 341/341 [00:17<00:00, 19.30it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.75it/s] all 261 1002 0.815 0.825 0.89 0.548 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 138/199 0.807G 0.0215 0.007833 0.007185 0 416: 100% 341/341 [00:17<00:00, 19.10it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.43it/s] all 261 1002 0.805 0.817 0.892 0.557 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 139/199 0.807G 0.02135 0.007262 0.006579 2 416: 100% 341/341 [00:17<00:00, 19.31it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.88it/s] all 261 1002 0.786 0.836 0.889 0.548 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 140/199 0.807G 0.02167 0.007611 0.006843 4 416: 100% 341/341 [00:18<00:00, 18.93it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.88it/s] all 261 1002 0.837 0.821 0.883 0.551 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 141/199 0.807G 0.02147 0.007464 0.006927 14 416: 100% 341/341 [00:18<00:00, 18.94it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.59it/s] all 261 1002 0.852 0.799 0.879 0.553 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 142/199 0.807G 0.02047 0.007275 0.006312 0 416: 100% 341/341 [00:18<00:00, 18.80it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.07it/s] all 261 1002 0.829 0.813 0.888 0.554 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 143/199 0.807G 0.02166 0.007837 0.006603 1 416: 100% 341/341 [00:17<00:00, 19.02it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.93it/s] all 261 1002 0.817 0.853 0.906 0.571 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 144/199 0.807G 0.02119 0.007561 0.007108 1 416: 100% 341/341 [00:18<00:00, 18.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.55it/s] all 261 1002 0.894 0.824 0.901 0.577 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 145/199 0.807G 0.02154 0.007585 0.006374 3 416: 100% 341/341 [00:18<00:00, 18.68it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.56it/s] all 261 1002 0.889 0.823 0.906 0.585 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 146/199 0.807G 0.02135 0.007684 0.006283 2 416: 100% 341/341 [00:17<00:00, 19.06it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.65it/s] all 261 1002 0.899 0.821 0.909 0.576 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 147/199 0.807G 0.0206 0.00729 0.005702 1 416: 100% 341/341 [00:17<00:00, 19.37it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.69it/s] all 261 1002 0.838 0.834 0.9 0.566 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 148/199 0.807G 0.02104 0.00749 0.005851 1 416: 100% 341/341 [00:17<00:00, 19.12it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.35it/s] all 261 1002 0.859 0.83 0.904 0.557 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 149/199 0.807G 0.0221 0.007427 0.006021 2 416: 100% 341/341 [00:17<00:00, 19.17it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.10it/s] all 261 1002 0.872 0.827 0.903 0.565 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 150/199 0.807G 0.02069 0.00725 0.00612 5 416: 100% 341/341 [00:17<00:00, 19.25it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.24it/s] all 261 1002 0.861 0.836 0.907 0.56 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 151/199 0.807G 0.02075 0.007293 0.005554 0 416: 100% 341/341 [00:18<00:00, 18.92it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.39it/s] all 261 1002 0.85 0.84 0.914 0.577 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 152/199 0.807G 0.0204 0.007195 0.005567 12 416: 100% 341/341 [00:18<00:00, 18.80it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 22.14it/s] all 261 1002 0.91 0.824 0.912 0.565 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 153/199 0.807G 0.02064 0.00706 0.005391 1 416: 100% 341/341 [00:18<00:00, 18.58it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.59it/s] all 261 1002 0.93 0.834 0.92 0.588 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 154/199 0.807G 0.02016 0.007265 0.005801 15 416: 100% 341/341 [00:18<00:00, 18.51it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.79it/s] all 261 1002 0.9 0.851 0.917 0.589 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 155/199 0.807G 0.02057 0.006961 0.005402 2 416: 100% 341/341 [00:18<00:00, 18.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 22.59it/s] all 261 1002 0.903 0.852 0.917 0.582 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 156/199 0.807G 0.02044 0.007514 0.005726 3 416: 100% 341/341 [00:18<00:00, 18.62it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.75it/s] all 261 1002 0.922 0.844 0.922 0.601 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 157/199 0.807G 0.02036 0.00719 0.005691 7 416: 100% 341/341 [00:18<00:00, 18.92it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.18it/s] all 261 1002 0.92 0.835 0.922 0.59 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 158/199 0.807G 0.02095 0.007166 0.005438 1 416: 100% 341/341 [00:18<00:00, 18.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.62it/s] all 261 1002 0.902 0.849 0.92 0.592 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 159/199 0.807G 0.02034 0.007198 0.005166 14 416: 100% 341/341 [00:17<00:00, 19.11it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.76it/s] all 261 1002 0.886 0.864 0.924 0.591 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 160/199 0.807G 0.02026 0.007517 0.005277 1 416: 100% 341/341 [00:18<00:00, 18.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.66it/s] all 261 1002 0.921 0.842 0.923 0.601 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 161/199 0.807G 0.01995 0.007392 0.005108 15 416: 100% 341/341 [00:17<00:00, 19.37it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.78it/s] all 261 1002 0.908 0.856 0.928 0.605 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 162/199 0.807G 0.02009 0.007864 0.00551 6 416: 100% 341/341 [00:17<00:00, 19.35it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.03it/s] all 261 1002 0.932 0.847 0.922 0.589 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 163/199 0.807G 0.02006 0.006891 0.00473 5 416: 100% 341/341 [00:17<00:00, 19.58it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.79it/s] all 261 1002 0.929 0.86 0.924 0.601 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 164/199 0.807G 0.02035 0.006925 0.00506 2 416: 100% 341/341 [00:17<00:00, 19.32it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.16it/s] all 261 1002 0.939 0.852 0.929 0.611 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 165/199 0.807G 0.0199 0.007209 0.00478 2 416: 100% 341/341 [00:17<00:00, 19.07it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.73it/s] all 261 1002 0.936 0.85 0.927 0.611 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 166/199 0.807G 0.02022 0.007563 0.00487 1 416: 100% 341/341 [00:18<00:00, 18.87it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.78it/s] all 261 1002 0.936 0.849 0.926 0.609 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 167/199 0.807G 0.02006 0.00715 0.005034 17 416: 100% 341/341 [00:17<00:00, 18.97it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.91it/s] all 261 1002 0.934 0.852 0.923 0.612 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 168/199 0.807G 0.01992 0.006862 0.004522 0 416: 100% 341/341 [00:18<00:00, 18.90it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.82it/s] all 261 1002 0.93 0.845 0.927 0.624 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 169/199 0.807G 0.02022 0.007569 0.004913 11 416: 100% 341/341 [00:17<00:00, 18.95it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.43it/s] all 261 1002 0.935 0.867 0.934 0.618 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 170/199 0.807G 0.01907 0.006983 0.004806 6 416: 100% 341/341 [00:18<00:00, 18.48it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.98it/s] all 261 1002 0.933 0.855 0.931 0.616 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 171/199 0.807G 0.01955 0.00712 0.004995 5 416: 100% 341/341 [00:18<00:00, 18.88it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.27it/s] all 261 1002 0.929 0.848 0.932 0.611 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 172/199 0.807G 0.01989 0.00695 0.004922 2 416: 100% 341/341 [00:17<00:00, 19.19it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.36it/s] all 261 1002 0.946 0.844 0.932 0.617 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 173/199 0.807G 0.0194 0.006871 0.004745 2 416: 100% 341/341 [00:18<00:00, 18.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.58it/s] all 261 1002 0.919 0.864 0.935 0.618 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 174/199 0.807G 0.01911 0.006803 0.004689 5 416: 100% 341/341 [00:18<00:00, 18.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.19it/s] all 261 1002 0.924 0.883 0.935 0.616 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 175/199 0.807G 0.01959 0.006884 0.004586 2 416: 100% 341/341 [00:18<00:00, 18.70it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.36it/s] all 261 1002 0.938 0.871 0.934 0.618 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 176/199 0.807G 0.01949 0.006833 0.004729 2 416: 100% 341/341 [00:17<00:00, 19.00it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.58it/s] all 261 1002 0.93 0.871 0.936 0.629 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 177/199 0.807G 0.01889 0.006872 0.004598 2 416: 100% 341/341 [00:18<00:00, 18.69it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.32it/s] all 261 1002 0.933 0.871 0.939 0.633 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 178/199 0.807G 0.01922 0.006987 0.004751 3 416: 100% 341/341 [00:18<00:00, 18.58it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.72it/s] all 261 1002 0.942 0.859 0.939 0.625 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 179/199 0.807G 0.01858 0.007074 0.004456 8 416: 100% 341/341 [00:17<00:00, 18.97it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.61it/s] all 261 1002 0.949 0.866 0.939 0.623 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 180/199 0.807G 0.01853 0.006824 0.004073 2 416: 100% 341/341 [00:18<00:00, 18.73it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.08it/s] all 261 1002 0.947 0.873 0.938 0.631 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 181/199 0.807G 0.01897 0.007041 0.004149 2 416: 100% 341/341 [00:17<00:00, 18.99it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.82it/s] all 261 1002 0.93 0.874 0.937 0.624 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 182/199 0.807G 0.01899 0.006575 0.004128 4 416: 100% 341/341 [00:17<00:00, 19.40it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.11it/s] all 261 1002 0.949 0.865 0.937 0.631 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 183/199 0.807G 0.01924 0.006822 0.004308 2 416: 100% 341/341 [00:17<00:00, 19.38it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.27it/s] all 261 1002 0.928 0.868 0.938 0.632 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 184/199 0.807G 0.01897 0.007271 0.004346 1 416: 100% 341/341 [00:17<00:00, 19.60it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.85it/s] all 261 1002 0.949 0.868 0.939 0.632 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 185/199 0.807G 0.01869 0.006686 0.004028 1 416: 100% 341/341 [00:17<00:00, 19.23it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.61it/s] all 261 1002 0.935 0.868 0.938 0.625 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 186/199 0.807G 0.01867 0.006851 0.004066 5 416: 100% 341/341 [00:17<00:00, 19.60it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.46it/s] all 261 1002 0.959 0.858 0.938 0.632 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 187/199 0.807G 0.01896 0.00679 0.003957 4 416: 100% 341/341 [00:17<00:00, 19.44it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.15it/s] all 261 1002 0.961 0.861 0.938 0.634 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 188/199 0.807G 0.01796 0.006543 0.003775 10 416: 100% 341/341 [00:17<00:00, 19.52it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.10it/s] all 261 1002 0.965 0.867 0.941 0.642 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 189/199 0.807G 0.01836 0.006525 0.003874 3 416: 100% 341/341 [00:17<00:00, 19.17it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.29it/s] all 261 1002 0.966 0.867 0.943 0.639 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 190/199 0.807G 0.01849 0.006737 0.004101 8 416: 100% 341/341 [00:17<00:00, 19.15it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.92it/s] all 261 1002 0.957 0.869 0.943 0.643 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 191/199 0.807G 0.01807 0.006652 0.004108 0 416: 100% 341/341 [00:17<00:00, 19.12it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.36it/s] all 261 1002 0.956 0.868 0.943 0.646 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 192/199 0.807G 0.01858 0.006919 0.004417 4 416: 100% 341/341 [00:17<00:00, 19.21it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.72it/s] all 261 1002 0.956 0.874 0.944 0.642 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 193/199 0.807G 0.01788 0.006884 0.003821 5 416: 100% 341/341 [00:17<00:00, 19.21it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 23.82it/s] all 261 1002 0.956 0.877 0.945 0.64 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 194/199 0.807G 0.01828 0.006491 0.004108 2 416: 100% 341/341 [00:17<00:00, 19.40it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.83it/s] all 261 1002 0.953 0.873 0.943 0.641 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 195/199 0.807G 0.01769 0.006313 0.004235 5 416: 100% 341/341 [00:17<00:00, 19.52it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.72it/s] all 261 1002 0.96 0.867 0.945 0.639 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 196/199 0.807G 0.01737 0.006583 0.003851 9 416: 100% 341/341 [00:17<00:00, 19.25it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.75it/s] all 261 1002 0.957 0.867 0.947 0.642 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 197/199 0.807G 0.01792 0.006888 0.003959 2 416: 100% 341/341 [00:17<00:00, 19.14it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 24.58it/s] all 261 1002 0.955 0.876 0.947 0.644 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 198/199 0.807G 0.01794 0.006754 0.003829 2 416: 100% 341/341 [00:17<00:00, 19.40it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.30it/s] all 261 1002 0.955 0.879 0.946 0.642 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 199/199 0.807G 0.01763 0.00663 0.003767 2 416: 100% 341/341 [00:17<00:00, 19.54it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.63it/s] all 261 1002 0.964 0.871 0.948 0.653 200 epochs completed in 1.203 hours. Optimizer stripped from runs/train/exp2/weights/last.pt, 42.2MB Optimizer stripped from runs/train/exp2/weights/best.pt, 42.2MB Validating runs/train/exp2/weights/best.pt... Fusing layers... Model summary: 212 layers, 20881221 parameters, 0 gradients, 47.9 GFLOPs Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 17.94it/s] all 261 1002 0.964 0.87 0.947 0.653 car 261 372 0.969 0.914 0.97 0.627 pickup 261 241 0.948 0.913 0.971 0.674 camping 261 129 0.976 0.944 0.965 0.724 truck 261 68 0.949 1 0.993 0.747 other 261 45 0.917 0.867 0.927 0.628 tractor 261 40 0.985 0.875 0.94 0.578 boat 261 75 0.969 0.835 0.925 0.616 van 261 32 1 0.616 0.888 0.628 Results saved to runs/train/exp2
In [3]:
p_yol5m = 0.964
r_yol5m = 0.87
mAP_yolo5m = 0.947
In [15]:
storeResults('YoloV5M',p_yol5m,r_yol5m,mAP_yolo5m)
In [15]:
# dislaying metrics for train data
from IPython.display import Image
from IPython.display import display
x = Image(filename='runs/train/exp2/F1_curve.png')
y = Image(filename='runs/train/exp2/PR_curve.png')
z = Image(filename='runs/train/exp2/confusion_matrix.png')
display(x, y,z)
YoloV5-l¶
In [16]:
!wandb disabled
!python train.py --img 416 --batch 2 --epochs 200 --data /content/drive/MyDrive/16/yolo/data.yaml --weights yolov5l.pt --cache --workers 2
/bin/bash: line 1: wandb: command not found train: weights=yolov5l.pt, cfg=, data=/content/drive/MyDrive/16/yolo/data.yaml, hyp=data/hyps/hyp.scratch-low.yaml, epochs=200, batch_size=2, imgsz=416, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, noplots=False, evolve=None, bucket=, cache=ram, image_weights=False, device=, multi_scale=False, single_cls=False, optimizer=SGD, sync_bn=False, workers=2, project=runs/train, name=exp, exist_ok=False, quad=False, cos_lr=False, label_smoothing=0.0, patience=100, freeze=[0], save_period=-1, seed=0, local_rank=-1, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest github: up to date with https://github.com/ultralytics/yolov5 ✅ YOLOv5 🚀 v7.0-226-gdd9e338 Python-3.10.12 torch-2.0.1+cu118 CUDA:0 (Tesla T4, 15102MiB) hyperparameters: lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=0.05, cls=0.5, cls_pw=1.0, obj=1.0, obj_pw=1.0, iou_t=0.2, anchor_t=4.0, fl_gamma=0.0, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0 Comet: run 'pip install comet_ml' to automatically track and visualize YOLOv5 🚀 runs in Comet TensorBoard: Start with 'tensorboard --logdir runs/train', view at http://localhost:6006/ Downloading https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov5l.pt to yolov5l.pt... 100% 89.3M/89.3M [00:05<00:00, 16.2MB/s] Overriding model.yaml nc=80 with nc=8 from n params module arguments 0 -1 1 7040 models.common.Conv [3, 64, 6, 2, 2] 1 -1 1 73984 models.common.Conv [64, 128, 3, 2] 2 -1 3 156928 models.common.C3 [128, 128, 3] 3 -1 1 295424 models.common.Conv [128, 256, 3, 2] 4 -1 6 1118208 models.common.C3 [256, 256, 6] 5 -1 1 1180672 models.common.Conv [256, 512, 3, 2] 6 -1 9 6433792 models.common.C3 [512, 512, 9] 7 -1 1 4720640 models.common.Conv [512, 1024, 3, 2] 8 -1 3 9971712 models.common.C3 [1024, 1024, 3] 9 -1 1 2624512 models.common.SPPF [1024, 1024, 5] 10 -1 1 525312 models.common.Conv [1024, 512, 1, 1] 11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] 12 [-1, 6] 1 0 models.common.Concat [1] 13 -1 3 2757632 models.common.C3 [1024, 512, 3, False] 14 -1 1 131584 models.common.Conv [512, 256, 1, 1] 15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] 16 [-1, 4] 1 0 models.common.Concat [1] 17 -1 3 690688 models.common.C3 [512, 256, 3, False] 18 -1 1 590336 models.common.Conv [256, 256, 3, 2] 19 [-1, 14] 1 0 models.common.Concat [1] 20 -1 3 2495488 models.common.C3 [512, 512, 3, False] 21 -1 1 2360320 models.common.Conv [512, 512, 3, 2] 22 [-1, 10] 1 0 models.common.Concat [1] 23 -1 3 9971712 models.common.C3 [1024, 1024, 3, False] 24 [17, 20, 23] 1 70005 models.yolo.Detect [8, [[10, 13, 16, 30, 33, 23], [30, 61, 62, 45, 59, 119], [116, 90, 156, 198, 373, 326]], [256, 512, 1024]] Model summary: 368 layers, 46175989 parameters, 46175989 gradients, 108.3 GFLOPs Transferred 607/613 items from yolov5l.pt AMP: checks passed ✅ optimizer: SGD(lr=0.01) with parameter groups 101 weight(decay=0.0), 104 weight(decay=0.0005), 104 bias albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8)) train: Scanning /content/drive/MyDrive/16/yolo/train/labels.cache... 691 images, 11 backgrounds, 10 corrupt: 100% 691/691 [00:00<?, ?it/s] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000033.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0004] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000044.png: ignoring corrupt image/label: negative label values [ -0.0036738] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000111.png: ignoring corrupt image/label: negative label values [-5.7568e-05] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000219.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0015] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000281.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0083] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000338.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0045] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000463.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.001] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000484.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0029] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000550.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0095] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000614.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0007] train: Caching images (0.3GB ram): 100% 681/681 [00:01<00:00, 561.03it/s] val: Scanning /content/drive/MyDrive/16/yolo/valid/labels.cache... 265 images, 9 backgrounds, 4 corrupt: 100% 265/265 [00:00<?, ?it/s] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000033.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0004] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000044.png: ignoring corrupt image/label: negative label values [ -0.0036738] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000111.png: ignoring corrupt image/label: negative label values [-5.7568e-05] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000219.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0015] val: Caching images (0.1GB ram): 100% 261/261 [00:00<00:00, 367.39it/s] AutoAnchor: 3.41 anchors/target, 1.000 Best Possible Recall (BPR). Current anchors are a good fit to dataset ✅ Plotting labels to runs/train/exp3/labels.jpg... Image sizes 416 train, 416 val Using 2 dataloader workers Logging results to runs/train/exp3 Starting training for 200 epochs... Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 0/199 1.5G 0.07561 0.0163 0.03567 4 416: 100% 341/341 [00:28<00:00, 12.07it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 22.62it/s] all 261 1002 0.00101 0.0562 0.000713 0.00019 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 1/199 1.5G 0.05676 0.01755 0.03286 9 416: 100% 341/341 [00:22<00:00, 15.12it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.93it/s] all 261 1002 0.00708 0.498 0.0247 0.00696 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 2/199 1.5G 0.05385 0.01458 0.03152 2 416: 100% 341/341 [00:22<00:00, 15.23it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 22.43it/s] all 261 1002 0.275 0.231 0.0401 0.0123 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 3/199 1.5G 0.04747 0.0145 0.03135 3 416: 100% 341/341 [00:22<00:00, 15.07it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.73it/s] all 261 1002 0.593 0.166 0.11 0.0394 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 4/199 1.5G 0.04467 0.01336 0.03075 3 416: 100% 341/341 [00:22<00:00, 15.07it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.71it/s] all 261 1002 0.631 0.189 0.142 0.0427 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 5/199 1.5G 0.04001 0.01325 0.02952 6 416: 100% 341/341 [00:22<00:00, 15.11it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.95it/s] all 261 1002 0.665 0.222 0.172 0.0675 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 6/199 1.5G 0.03832 0.01234 0.02805 8 416: 100% 341/341 [00:22<00:00, 15.10it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.92it/s] all 261 1002 0.584 0.261 0.204 0.0879 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 7/199 1.5G 0.03975 0.01245 0.02814 4 416: 100% 341/341 [00:22<00:00, 15.15it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 22.25it/s] all 261 1002 0.338 0.343 0.224 0.093 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 8/199 1.5G 0.03532 0.01198 0.02635 2 416: 100% 341/341 [00:23<00:00, 14.69it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 22.01it/s] all 261 1002 0.493 0.302 0.237 0.107 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 9/199 1.5G 0.03605 0.01224 0.02543 17 416: 100% 341/341 [00:22<00:00, 15.18it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.81it/s] all 261 1002 0.581 0.309 0.255 0.114 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 10/199 1.5G 0.03492 0.01189 0.02433 6 416: 100% 341/341 [00:22<00:00, 15.19it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.85it/s] all 261 1002 0.444 0.348 0.259 0.12 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 11/199 1.5G 0.03395 0.01174 0.02413 2 416: 100% 341/341 [00:22<00:00, 15.32it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.87it/s] all 261 1002 0.533 0.341 0.296 0.119 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 12/199 1.5G 0.03442 0.01134 0.02463 13 416: 100% 341/341 [00:22<00:00, 15.19it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 22.19it/s] all 261 1002 0.47 0.35 0.283 0.133 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 13/199 1.5G 0.03305 0.01096 0.02424 2 416: 100% 341/341 [00:22<00:00, 15.37it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 22.12it/s] all 261 1002 0.494 0.368 0.291 0.13 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 14/199 1.5G 0.0338 0.01133 0.02402 5 416: 100% 341/341 [00:22<00:00, 15.07it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.98it/s] all 261 1002 0.53 0.385 0.332 0.16 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 15/199 1.5G 0.03419 0.01204 0.02369 4 416: 100% 341/341 [00:23<00:00, 14.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.75it/s] all 261 1002 0.375 0.427 0.317 0.156 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 16/199 1.5G 0.03205 0.01106 0.02348 1 416: 100% 341/341 [00:22<00:00, 15.00it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.76it/s] all 261 1002 0.531 0.416 0.357 0.176 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 17/199 1.5G 0.0332 0.01078 0.02274 0 416: 100% 341/341 [00:23<00:00, 14.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.85it/s] all 261 1002 0.526 0.428 0.354 0.171 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 18/199 1.5G 0.03083 0.0112 0.02231 2 416: 100% 341/341 [00:22<00:00, 15.18it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.14it/s] all 261 1002 0.563 0.428 0.369 0.192 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 19/199 1.5G 0.03138 0.01071 0.02197 6 416: 100% 341/341 [00:22<00:00, 15.12it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.69it/s] all 261 1002 0.558 0.413 0.394 0.197 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 20/199 1.5G 0.03094 0.01055 0.02165 4 416: 100% 341/341 [00:22<00:00, 15.24it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.98it/s] all 261 1002 0.477 0.461 0.419 0.199 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 21/199 1.5G 0.03195 0.01115 0.02164 15 416: 100% 341/341 [00:22<00:00, 15.01it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.93it/s] all 261 1002 0.472 0.481 0.399 0.201 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 22/199 1.5G 0.02991 0.009782 0.02075 0 416: 100% 341/341 [00:22<00:00, 15.10it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 22.08it/s] all 261 1002 0.512 0.466 0.457 0.228 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 23/199 1.5G 0.03021 0.01044 0.02075 1 416: 100% 341/341 [00:23<00:00, 14.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.58it/s] all 261 1002 0.657 0.468 0.466 0.244 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 24/199 1.5G 0.03191 0.01103 0.02166 2 416: 100% 341/341 [00:22<00:00, 15.10it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.69it/s] all 261 1002 0.698 0.441 0.485 0.241 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 25/199 1.5G 0.03103 0.0106 0.02107 12 416: 100% 341/341 [00:23<00:00, 14.80it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 19.94it/s] all 261 1002 0.596 0.527 0.502 0.256 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 26/199 1.5G 0.03115 0.01045 0.02059 9 416: 100% 341/341 [00:24<00:00, 14.16it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 20.81it/s] all 261 1002 0.657 0.447 0.487 0.236 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 27/199 1.5G 0.03008 0.009895 0.01964 1 416: 100% 341/341 [00:23<00:00, 14.28it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 19.92it/s] all 261 1002 0.626 0.482 0.513 0.251 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 28/199 1.5G 0.03039 0.009921 0.0199 0 416: 100% 341/341 [00:24<00:00, 13.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 19.98it/s] all 261 1002 0.611 0.475 0.485 0.238 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 29/199 1.5G 0.02866 0.009841 0.01904 0 416: 100% 341/341 [00:24<00:00, 14.17it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 20.17it/s] all 261 1002 0.654 0.521 0.561 0.275 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 30/199 1.5G 0.02905 0.01018 0.01871 0 416: 100% 341/341 [00:23<00:00, 14.29it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 20.82it/s] all 261 1002 0.639 0.523 0.557 0.284 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 31/199 1.5G 0.02878 0.009908 0.01896 6 416: 100% 341/341 [00:24<00:00, 14.08it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 20.66it/s] all 261 1002 0.667 0.534 0.557 0.283 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 32/199 1.5G 0.02978 0.0104 0.01834 2 416: 100% 341/341 [00:23<00:00, 14.25it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 20.49it/s] all 261 1002 0.694 0.551 0.611 0.319 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 33/199 1.5G 0.029 0.009645 0.01737 1 416: 100% 341/341 [00:23<00:00, 14.32it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 19.70it/s] all 261 1002 0.709 0.525 0.609 0.32 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 34/199 1.5G 0.03027 0.009959 0.01798 1 416: 100% 341/341 [00:24<00:00, 14.18it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 19.73it/s] all 261 1002 0.693 0.559 0.598 0.295 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 35/199 1.5G 0.02815 0.01006 0.01704 1 416: 100% 341/341 [00:23<00:00, 14.57it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.36it/s] all 261 1002 0.678 0.55 0.611 0.324 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 36/199 1.5G 0.0287 0.009935 0.01728 13 416: 100% 341/341 [00:23<00:00, 14.49it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 20.30it/s] all 261 1002 0.727 0.54 0.603 0.31 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 37/199 1.5G 0.02891 0.009674 0.01593 0 416: 100% 341/341 [00:23<00:00, 14.45it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 20.42it/s] all 261 1002 0.702 0.558 0.599 0.297 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 38/199 1.5G 0.02863 0.009888 0.018 6 416: 100% 341/341 [00:23<00:00, 14.52it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 20.67it/s] all 261 1002 0.691 0.55 0.632 0.34 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 39/199 1.5G 0.02725 0.009764 0.01689 9 416: 100% 341/341 [00:23<00:00, 14.21it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 20.81it/s] all 261 1002 0.716 0.553 0.629 0.339 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 40/199 1.5G 0.02732 0.009877 0.01577 6 416: 100% 341/341 [00:23<00:00, 14.41it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.06it/s] all 261 1002 0.699 0.572 0.625 0.332 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 41/199 1.5G 0.02876 0.01031 0.01644 3 416: 100% 341/341 [00:24<00:00, 13.97it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 20.62it/s] all 261 1002 0.681 0.57 0.609 0.327 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 42/199 1.5G 0.02992 0.009775 0.01544 0 416: 100% 341/341 [00:24<00:00, 14.01it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 20.54it/s] all 261 1002 0.74 0.537 0.643 0.348 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 43/199 1.5G 0.02799 0.01022 0.01615 7 416: 100% 341/341 [00:23<00:00, 14.72it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.30it/s] all 261 1002 0.727 0.575 0.649 0.336 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 44/199 1.5G 0.02769 0.009236 0.01513 4 416: 100% 341/341 [00:23<00:00, 14.25it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 20.47it/s] all 261 1002 0.741 0.581 0.638 0.341 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 45/199 1.5G 0.02761 0.009733 0.01537 2 416: 100% 341/341 [00:23<00:00, 14.37it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 20.76it/s] all 261 1002 0.733 0.601 0.661 0.364 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 46/199 1.5G 0.02648 0.008877 0.01457 7 416: 100% 341/341 [00:23<00:00, 14.38it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 20.71it/s] all 261 1002 0.754 0.57 0.67 0.346 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 47/199 1.5G 0.0279 0.009012 0.01516 2 416: 100% 341/341 [00:23<00:00, 14.35it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 20.69it/s] all 261 1002 0.745 0.598 0.701 0.365 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 48/199 1.5G 0.026 0.00909 0.01406 0 416: 100% 341/341 [00:23<00:00, 14.34it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 20.27it/s] all 261 1002 0.746 0.613 0.698 0.369 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 49/199 1.5G 0.02659 0.009447 0.0142 3 416: 100% 341/341 [00:23<00:00, 14.30it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.04it/s] all 261 1002 0.812 0.6 0.72 0.402 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 50/199 1.5G 0.02718 0.009402 0.01409 6 416: 100% 341/341 [00:23<00:00, 14.35it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.37it/s] all 261 1002 0.79 0.608 0.72 0.401 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 51/199 1.5G 0.02762 0.009569 0.01427 3 416: 100% 341/341 [00:24<00:00, 14.15it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.25it/s] all 261 1002 0.782 0.585 0.708 0.389 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 52/199 1.5G 0.02694 0.008846 0.01468 13 416: 100% 341/341 [00:23<00:00, 14.43it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.07it/s] all 261 1002 0.766 0.592 0.683 0.372 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 53/199 1.5G 0.02671 0.009216 0.01246 6 416: 100% 341/341 [00:22<00:00, 14.87it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.01it/s] all 261 1002 0.754 0.606 0.715 0.401 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 54/199 1.5G 0.02726 0.008944 0.01363 2 416: 100% 341/341 [00:22<00:00, 14.92it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.58it/s] all 261 1002 0.8 0.621 0.728 0.393 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 55/199 1.5G 0.02518 0.009289 0.01302 0 416: 100% 341/341 [00:22<00:00, 14.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.68it/s] all 261 1002 0.825 0.627 0.738 0.402 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 56/199 1.5G 0.02637 0.009374 0.01407 5 416: 100% 341/341 [00:23<00:00, 14.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.55it/s] all 261 1002 0.776 0.617 0.725 0.401 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 57/199 1.5G 0.02555 0.009261 0.01341 2 416: 100% 341/341 [00:23<00:00, 14.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.40it/s] all 261 1002 0.792 0.593 0.7 0.38 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 58/199 1.5G 0.0264 0.009264 0.01349 1 416: 100% 341/341 [00:23<00:00, 14.56it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.73it/s] all 261 1002 0.779 0.621 0.711 0.401 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 59/199 1.5G 0.02652 0.009116 0.01338 1 416: 100% 341/341 [00:23<00:00, 14.62it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.14it/s] all 261 1002 0.81 0.63 0.751 0.424 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 60/199 1.5G 0.02724 0.008926 0.0139 5 416: 100% 341/341 [00:22<00:00, 14.91it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.30it/s] all 261 1002 0.805 0.615 0.765 0.432 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 61/199 1.5G 0.02617 0.00926 0.01293 3 416: 100% 341/341 [00:23<00:00, 14.80it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.57it/s] all 261 1002 0.823 0.64 0.758 0.443 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 62/199 1.5G 0.02522 0.00886 0.0115 0 416: 100% 341/341 [00:23<00:00, 14.68it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.59it/s] all 261 1002 0.869 0.59 0.774 0.456 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 63/199 1.5G 0.02472 0.008654 0.01171 2 416: 100% 341/341 [00:22<00:00, 14.93it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.53it/s] all 261 1002 0.839 0.621 0.772 0.446 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 64/199 1.5G 0.02569 0.008914 0.01224 3 416: 100% 341/341 [00:22<00:00, 14.92it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.55it/s] all 261 1002 0.794 0.629 0.762 0.432 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 65/199 1.5G 0.02652 0.008742 0.01227 6 416: 100% 341/341 [00:23<00:00, 14.80it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.41it/s] all 261 1002 0.793 0.648 0.775 0.433 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 66/199 1.5G 0.02554 0.00904 0.01247 10 416: 100% 341/341 [00:22<00:00, 14.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.31it/s] all 261 1002 0.827 0.615 0.766 0.434 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 67/199 1.5G 0.02589 0.009443 0.01269 2 416: 100% 341/341 [00:22<00:00, 14.93it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.38it/s] all 261 1002 0.84 0.641 0.748 0.431 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 68/199 1.5G 0.02592 0.008303 0.01079 1 416: 100% 341/341 [00:22<00:00, 14.95it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.73it/s] all 261 1002 0.782 0.622 0.732 0.404 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 69/199 1.5G 0.02436 0.008425 0.01141 0 416: 100% 341/341 [00:22<00:00, 14.97it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.37it/s] all 261 1002 0.819 0.658 0.792 0.458 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 70/199 1.5G 0.02523 0.008964 0.01104 2 416: 100% 341/341 [00:23<00:00, 14.64it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.68it/s] all 261 1002 0.824 0.649 0.76 0.444 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 71/199 1.5G 0.02548 0.008565 0.01115 3 416: 100% 341/341 [00:23<00:00, 14.62it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.55it/s] all 261 1002 0.806 0.66 0.783 0.435 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 72/199 1.5G 0.02558 0.009295 0.01063 5 416: 100% 341/341 [00:23<00:00, 14.71it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.51it/s] all 261 1002 0.844 0.649 0.767 0.429 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 73/199 1.5G 0.02526 0.008348 0.01174 2 416: 100% 341/341 [00:22<00:00, 14.88it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.03it/s] all 261 1002 0.802 0.658 0.771 0.452 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 74/199 1.5G 0.02495 0.008506 0.009955 6 416: 100% 341/341 [00:22<00:00, 14.86it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 20.98it/s] all 261 1002 0.806 0.647 0.758 0.431 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 75/199 1.5G 0.0252 0.00865 0.01083 2 416: 100% 341/341 [00:23<00:00, 14.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.55it/s] all 261 1002 0.813 0.616 0.759 0.448 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 76/199 1.5G 0.02453 0.008958 0.009899 2 416: 100% 341/341 [00:22<00:00, 14.87it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.60it/s] all 261 1002 0.811 0.677 0.813 0.479 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 77/199 1.5G 0.02424 0.008085 0.0103 1 416: 100% 341/341 [00:23<00:00, 14.65it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.54it/s] all 261 1002 0.833 0.662 0.815 0.471 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 78/199 1.5G 0.02365 0.008621 0.009484 8 416: 100% 341/341 [00:23<00:00, 14.70it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.28it/s] all 261 1002 0.864 0.683 0.829 0.487 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 79/199 1.5G 0.02373 0.008073 0.009827 2 416: 100% 341/341 [00:23<00:00, 14.70it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.32it/s] all 261 1002 0.85 0.661 0.807 0.465 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 80/199 1.5G 0.02413 0.008681 0.009669 0 416: 100% 341/341 [00:23<00:00, 14.79it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 20.73it/s] all 261 1002 0.744 0.727 0.814 0.487 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 81/199 1.5G 0.02482 0.008668 0.009448 4 416: 100% 341/341 [00:22<00:00, 15.05it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.56it/s] all 261 1002 0.706 0.788 0.838 0.478 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 82/199 1.5G 0.02349 0.008209 0.0098 5 416: 100% 341/341 [00:22<00:00, 15.05it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.39it/s] all 261 1002 0.78 0.765 0.843 0.484 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 83/199 1.5G 0.02461 0.00835 0.008677 5 416: 100% 341/341 [00:23<00:00, 14.58it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.25it/s] all 261 1002 0.899 0.696 0.86 0.508 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 84/199 1.5G 0.02496 0.008238 0.009013 1 416: 100% 341/341 [00:23<00:00, 14.60it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.40it/s] all 261 1002 0.728 0.778 0.838 0.485 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 85/199 1.5G 0.0241 0.008424 0.008455 3 416: 100% 341/341 [00:22<00:00, 14.96it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.57it/s] all 261 1002 0.836 0.739 0.85 0.505 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 86/199 1.5G 0.02449 0.008148 0.009167 6 416: 100% 341/341 [00:23<00:00, 14.67it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.55it/s] all 261 1002 0.755 0.765 0.825 0.502 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 87/199 1.5G 0.02352 0.00789 0.008612 3 416: 100% 341/341 [00:23<00:00, 14.63it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 20.72it/s] all 261 1002 0.781 0.772 0.861 0.506 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 88/199 1.5G 0.02362 0.008522 0.009175 8 416: 100% 341/341 [00:23<00:00, 14.80it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.09it/s] all 261 1002 0.839 0.746 0.848 0.506 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 89/199 1.5G 0.02322 0.007651 0.007902 10 416: 100% 341/341 [00:23<00:00, 14.58it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 20.93it/s] all 261 1002 0.852 0.765 0.865 0.521 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 90/199 1.5G 0.02308 0.008148 0.007973 3 416: 100% 341/341 [00:23<00:00, 14.69it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.48it/s] all 261 1002 0.858 0.756 0.863 0.518 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 91/199 1.5G 0.02224 0.007669 0.008302 1 416: 100% 341/341 [00:22<00:00, 15.00it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.53it/s] all 261 1002 0.822 0.789 0.87 0.536 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 92/199 1.5G 0.02323 0.008063 0.007732 5 416: 100% 341/341 [00:23<00:00, 14.44it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.23it/s] all 261 1002 0.849 0.76 0.871 0.518 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 93/199 1.5G 0.0233 0.008003 0.007431 0 416: 100% 341/341 [00:23<00:00, 14.60it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 20.85it/s] all 261 1002 0.818 0.801 0.875 0.531 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 94/199 1.5G 0.02437 0.008057 0.008211 13 416: 100% 341/341 [00:23<00:00, 14.40it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 20.93it/s] all 261 1002 0.785 0.807 0.873 0.521 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 95/199 1.5G 0.02322 0.007913 0.007583 2 416: 100% 341/341 [00:23<00:00, 14.59it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.19it/s] all 261 1002 0.87 0.752 0.872 0.536 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 96/199 1.5G 0.02299 0.007592 0.00747 5 416: 100% 341/341 [00:23<00:00, 14.55it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.52it/s] all 261 1002 0.862 0.771 0.875 0.527 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 97/199 1.5G 0.02382 0.007823 0.007123 2 416: 100% 341/341 [00:23<00:00, 14.71it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.65it/s] all 261 1002 0.849 0.793 0.89 0.545 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 98/199 1.5G 0.0233 0.008266 0.008253 1 416: 100% 341/341 [00:23<00:00, 14.71it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.33it/s] all 261 1002 0.801 0.815 0.887 0.547 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 99/199 1.5G 0.02243 0.007876 0.007579 3 416: 100% 341/341 [00:22<00:00, 14.89it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.11it/s] all 261 1002 0.858 0.778 0.868 0.522 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 100/199 1.5G 0.02186 0.007185 0.007052 3 416: 100% 341/341 [00:22<00:00, 14.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.12it/s] all 261 1002 0.901 0.794 0.894 0.546 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 101/199 1.5G 0.02269 0.008151 0.006907 11 416: 100% 341/341 [00:23<00:00, 14.70it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.08it/s] all 261 1002 0.839 0.808 0.882 0.553 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 102/199 1.5G 0.02209 0.007719 0.008209 11 416: 100% 341/341 [00:23<00:00, 14.55it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.30it/s] all 261 1002 0.864 0.79 0.887 0.533 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 103/199 1.5G 0.02244 0.007768 0.007714 2 416: 100% 341/341 [00:23<00:00, 14.69it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.49it/s] all 261 1002 0.868 0.844 0.906 0.566 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 104/199 1.5G 0.02298 0.007304 0.00694 9 416: 100% 341/341 [00:23<00:00, 14.71it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.49it/s] all 261 1002 0.907 0.793 0.91 0.56 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 105/199 1.5G 0.02273 0.008576 0.007154 14 416: 100% 341/341 [00:23<00:00, 14.68it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.27it/s] all 261 1002 0.882 0.799 0.913 0.565 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 106/199 1.5G 0.0221 0.007734 0.007069 7 416: 100% 341/341 [00:23<00:00, 14.67it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.18it/s] all 261 1002 0.817 0.82 0.891 0.567 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 107/199 1.5G 0.02222 0.00745 0.006612 3 416: 100% 341/341 [00:23<00:00, 14.73it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.36it/s] all 261 1002 0.885 0.809 0.904 0.554 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 108/199 1.5G 0.0232 0.007627 0.00677 8 416: 100% 341/341 [00:23<00:00, 14.50it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.40it/s] all 261 1002 0.852 0.81 0.898 0.556 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 109/199 1.5G 0.02253 0.007663 0.006602 7 416: 100% 341/341 [00:23<00:00, 14.60it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.32it/s] all 261 1002 0.873 0.809 0.898 0.561 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 110/199 1.5G 0.02187 0.007343 0.00686 0 416: 100% 341/341 [00:23<00:00, 14.61it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.39it/s] all 261 1002 0.844 0.822 0.904 0.573 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 111/199 1.5G 0.02163 0.007478 0.006164 4 416: 100% 341/341 [00:23<00:00, 14.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.39it/s] all 261 1002 0.869 0.809 0.893 0.559 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 112/199 1.5G 0.0212 0.00736 0.005866 0 416: 100% 341/341 [00:22<00:00, 14.99it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.35it/s] all 261 1002 0.88 0.847 0.911 0.57 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 113/199 1.5G 0.02118 0.007315 0.006099 1 416: 100% 341/341 [00:23<00:00, 14.71it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.03it/s] all 261 1002 0.94 0.791 0.92 0.58 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 114/199 1.5G 0.02154 0.007939 0.00621 0 416: 100% 341/341 [00:22<00:00, 14.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.56it/s] all 261 1002 0.891 0.851 0.914 0.583 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 115/199 1.5G 0.02132 0.007148 0.006016 1 416: 100% 341/341 [00:22<00:00, 14.91it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.96it/s] all 261 1002 0.883 0.848 0.927 0.586 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 116/199 1.5G 0.02168 0.00749 0.005712 10 416: 100% 341/341 [00:22<00:00, 14.91it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.86it/s] all 261 1002 0.911 0.815 0.923 0.575 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 117/199 1.5G 0.02142 0.007386 0.006329 1 416: 100% 341/341 [00:22<00:00, 14.89it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.67it/s] all 261 1002 0.92 0.812 0.917 0.579 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 118/199 1.5G 0.02247 0.007382 0.006048 6 416: 100% 341/341 [00:23<00:00, 14.79it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.44it/s] all 261 1002 0.884 0.841 0.922 0.583 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 119/199 1.5G 0.02102 0.007253 0.00553 1 416: 100% 341/341 [00:22<00:00, 14.96it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 20.92it/s] all 261 1002 0.901 0.833 0.926 0.59 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 120/199 1.5G 0.02033 0.007675 0.005548 2 416: 100% 341/341 [00:22<00:00, 15.01it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.38it/s] all 261 1002 0.917 0.848 0.924 0.596 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 121/199 1.5G 0.02209 0.007774 0.005782 6 416: 100% 341/341 [00:22<00:00, 15.02it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.98it/s] all 261 1002 0.928 0.855 0.936 0.593 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 122/199 1.5G 0.02086 0.006965 0.005387 2 416: 100% 341/341 [00:22<00:00, 14.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.59it/s] all 261 1002 0.946 0.828 0.934 0.592 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 123/199 1.5G 0.02206 0.006912 0.005393 3 416: 100% 341/341 [00:22<00:00, 14.88it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.80it/s] all 261 1002 0.924 0.845 0.937 0.601 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 124/199 1.5G 0.02147 0.007629 0.005496 5 416: 100% 341/341 [00:23<00:00, 14.63it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.78it/s] all 261 1002 0.905 0.852 0.928 0.603 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 125/199 1.5G 0.0209 0.006954 0.005258 4 416: 100% 341/341 [00:23<00:00, 14.70it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 20.60it/s] all 261 1002 0.908 0.869 0.937 0.606 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 126/199 1.5G 0.02144 0.007306 0.005587 2 416: 100% 341/341 [00:23<00:00, 14.32it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.38it/s] all 261 1002 0.937 0.859 0.931 0.607 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 127/199 1.5G 0.02098 0.007039 0.005361 4 416: 100% 341/341 [00:23<00:00, 14.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.99it/s] all 261 1002 0.928 0.827 0.936 0.599 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 128/199 1.5G 0.02046 0.007113 0.00496 4 416: 100% 341/341 [00:22<00:00, 15.17it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 22.00it/s] all 261 1002 0.937 0.829 0.933 0.61 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 129/199 1.5G 0.02142 0.007112 0.005523 3 416: 100% 341/341 [00:22<00:00, 14.93it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.81it/s] all 261 1002 0.919 0.872 0.935 0.618 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 130/199 1.5G 0.02008 0.006981 0.004789 4 416: 100% 341/341 [00:22<00:00, 15.00it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.58it/s] all 261 1002 0.933 0.873 0.937 0.594 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 131/199 1.5G 0.01972 0.006644 0.004906 8 416: 100% 341/341 [00:22<00:00, 15.04it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.51it/s] all 261 1002 0.925 0.86 0.935 0.622 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 132/199 1.5G 0.02091 0.00697 0.004987 2 416: 100% 341/341 [00:22<00:00, 15.10it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.49it/s] all 261 1002 0.943 0.867 0.938 0.62 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 133/199 1.5G 0.02092 0.006861 0.004788 12 416: 100% 341/341 [00:22<00:00, 14.96it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.79it/s] all 261 1002 0.938 0.864 0.939 0.607 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 134/199 1.5G 0.02009 0.007382 0.004729 1 416: 100% 341/341 [00:22<00:00, 15.06it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.89it/s] all 261 1002 0.949 0.875 0.94 0.612 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 135/199 1.5G 0.02088 0.007143 0.004872 3 416: 100% 341/341 [00:22<00:00, 15.00it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.82it/s] all 261 1002 0.938 0.88 0.948 0.63 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 136/199 1.5G 0.02039 0.006693 0.004614 5 416: 100% 341/341 [00:22<00:00, 14.98it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.73it/s] all 261 1002 0.937 0.878 0.946 0.623 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 137/199 1.5G 0.02016 0.006964 0.004468 1 416: 100% 341/341 [00:22<00:00, 14.88it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.90it/s] all 261 1002 0.952 0.89 0.945 0.621 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 138/199 1.5G 0.02018 0.006887 0.004739 0 416: 100% 341/341 [00:22<00:00, 15.12it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.87it/s] all 261 1002 0.949 0.878 0.949 0.616 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 139/199 1.5G 0.01991 0.006371 0.004126 2 416: 100% 341/341 [00:23<00:00, 14.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.22it/s] all 261 1002 0.926 0.892 0.952 0.638 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 140/199 1.5G 0.02006 0.006798 0.004612 4 416: 100% 341/341 [00:22<00:00, 14.96it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.64it/s] all 261 1002 0.946 0.882 0.945 0.633 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 141/199 1.5G 0.0198 0.006554 0.004931 14 416: 100% 341/341 [00:22<00:00, 14.95it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.68it/s] all 261 1002 0.946 0.862 0.939 0.621 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 142/199 1.5G 0.01858 0.006514 0.004287 0 416: 100% 341/341 [00:22<00:00, 14.93it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.65it/s] all 261 1002 0.957 0.878 0.947 0.639 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 143/199 1.5G 0.02006 0.007025 0.004493 1 416: 100% 341/341 [00:23<00:00, 14.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.53it/s] all 261 1002 0.948 0.894 0.95 0.642 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 144/199 1.5G 0.01943 0.006726 0.004392 1 416: 100% 341/341 [00:23<00:00, 14.79it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.59it/s] all 261 1002 0.946 0.892 0.949 0.63 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 145/199 1.5G 0.01998 0.006723 0.004152 3 416: 100% 341/341 [00:22<00:00, 14.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.60it/s] all 261 1002 0.946 0.901 0.952 0.645 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 146/199 1.5G 0.01932 0.006833 0.003843 2 416: 100% 341/341 [00:22<00:00, 14.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.23it/s] all 261 1002 0.944 0.898 0.954 0.646 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 147/199 1.5G 0.01881 0.006423 0.003737 1 416: 100% 341/341 [00:23<00:00, 14.79it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.09it/s] all 261 1002 0.96 0.903 0.956 0.645 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 148/199 1.5G 0.01923 0.006602 0.003937 1 416: 100% 341/341 [00:23<00:00, 14.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.50it/s] all 261 1002 0.949 0.892 0.952 0.64 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 149/199 1.5G 0.01999 0.006543 0.003685 2 416: 100% 341/341 [00:22<00:00, 14.87it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.95it/s] all 261 1002 0.949 0.896 0.95 0.644 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 150/199 1.5G 0.01895 0.006341 0.004107 5 416: 100% 341/341 [00:22<00:00, 14.95it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.45it/s] all 261 1002 0.961 0.901 0.953 0.656 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 151/199 1.5G 0.01902 0.006358 0.003508 0 416: 100% 341/341 [00:22<00:00, 14.94it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.46it/s] all 261 1002 0.96 0.907 0.955 0.642 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 152/199 1.5G 0.01876 0.006229 0.003841 12 416: 100% 341/341 [00:22<00:00, 15.04it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.78it/s] all 261 1002 0.949 0.911 0.953 0.649 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 153/199 1.5G 0.0186 0.006292 0.003473 1 416: 100% 341/341 [00:23<00:00, 14.67it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.12it/s] all 261 1002 0.954 0.902 0.952 0.659 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 154/199 1.5G 0.01859 0.00642 0.003832 15 416: 100% 341/341 [00:22<00:00, 14.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.71it/s] all 261 1002 0.952 0.889 0.955 0.657 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 155/199 1.5G 0.01873 0.00608 0.003299 2 416: 100% 341/341 [00:22<00:00, 15.01it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.65it/s] all 261 1002 0.97 0.9 0.956 0.647 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 156/199 1.5G 0.01845 0.00654 0.003837 3 416: 100% 341/341 [00:23<00:00, 14.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.66it/s] all 261 1002 0.966 0.904 0.958 0.653 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 157/199 1.5G 0.01847 0.006319 0.003532 7 416: 100% 341/341 [00:22<00:00, 14.95it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.74it/s] all 261 1002 0.959 0.902 0.96 0.658 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 158/199 1.5G 0.0192 0.00625 0.003559 1 416: 100% 341/341 [00:23<00:00, 14.71it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.60it/s] all 261 1002 0.947 0.906 0.957 0.647 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 159/199 1.5G 0.01876 0.00628 0.003506 14 416: 100% 341/341 [00:22<00:00, 14.94it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.25it/s] all 261 1002 0.934 0.924 0.96 0.661 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 160/199 1.5G 0.01815 0.006588 0.003434 1 416: 100% 341/341 [00:22<00:00, 14.86it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.35it/s] all 261 1002 0.945 0.929 0.961 0.663 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 161/199 1.5G 0.01781 0.0065 0.003465 15 416: 100% 341/341 [00:22<00:00, 14.94it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.48it/s] all 261 1002 0.963 0.903 0.961 0.664 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 162/199 1.5G 0.01848 0.006791 0.003591 6 416: 100% 341/341 [00:22<00:00, 14.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.68it/s] all 261 1002 0.973 0.907 0.96 0.663 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 163/199 1.5G 0.01819 0.006173 0.003254 5 416: 100% 341/341 [00:22<00:00, 14.99it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.53it/s] all 261 1002 0.961 0.913 0.961 0.661 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 164/199 1.5G 0.01806 0.006139 0.003266 2 416: 100% 341/341 [00:22<00:00, 14.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.53it/s] all 261 1002 0.955 0.924 0.959 0.661 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 165/199 1.5G 0.01793 0.006341 0.003073 2 416: 100% 341/341 [00:23<00:00, 14.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.67it/s] all 261 1002 0.976 0.904 0.959 0.674 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 166/199 1.5G 0.01819 0.006619 0.003149 1 416: 100% 341/341 [00:23<00:00, 14.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.22it/s] all 261 1002 0.958 0.91 0.958 0.674 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 167/199 1.5G 0.0184 0.006326 0.003211 17 416: 100% 341/341 [00:23<00:00, 14.72it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.17it/s] all 261 1002 0.933 0.938 0.958 0.668 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 168/199 1.5G 0.01767 0.006053 0.003066 0 416: 100% 341/341 [00:22<00:00, 14.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 20.93it/s] all 261 1002 0.969 0.922 0.961 0.675 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 169/199 1.5G 0.01814 0.006703 0.003243 11 416: 100% 341/341 [00:23<00:00, 14.55it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.40it/s] all 261 1002 0.969 0.924 0.963 0.663 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 170/199 1.5G 0.01701 0.006205 0.002865 6 416: 100% 341/341 [00:22<00:00, 14.90it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.64it/s] all 261 1002 0.967 0.939 0.965 0.675 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 171/199 1.5G 0.01773 0.006278 0.003397 5 416: 100% 341/341 [00:22<00:00, 14.98it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.71it/s] all 261 1002 0.967 0.936 0.965 0.673 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 172/199 1.5G 0.01791 0.006021 0.003191 2 416: 100% 341/341 [00:22<00:00, 15.01it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.44it/s] all 261 1002 0.961 0.934 0.965 0.679 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 173/199 1.5G 0.01729 0.006041 0.003162 2 416: 100% 341/341 [00:22<00:00, 15.05it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.70it/s] all 261 1002 0.952 0.934 0.965 0.683 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 174/199 1.5G 0.01701 0.006018 0.003178 5 416: 100% 341/341 [00:22<00:00, 14.91it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.66it/s] all 261 1002 0.953 0.93 0.964 0.684 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 175/199 1.5G 0.01728 0.006034 0.002998 2 416: 100% 341/341 [00:23<00:00, 14.82it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.76it/s] all 261 1002 0.975 0.914 0.965 0.685 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 176/199 1.5G 0.01741 0.005929 0.002884 2 416: 100% 341/341 [00:22<00:00, 14.96it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.65it/s] all 261 1002 0.962 0.926 0.96 0.676 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 177/199 1.5G 0.01702 0.006024 0.003145 2 416: 100% 341/341 [00:22<00:00, 14.86it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.93it/s] all 261 1002 0.975 0.917 0.964 0.677 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 178/199 1.5G 0.01715 0.006186 0.003025 3 416: 100% 341/341 [00:23<00:00, 14.67it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.40it/s] all 261 1002 0.966 0.93 0.965 0.683 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 179/199 1.5G 0.0165 0.006152 0.002661 8 416: 100% 341/341 [00:22<00:00, 14.96it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 20.96it/s] all 261 1002 0.95 0.936 0.966 0.683 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 180/199 1.5G 0.01658 0.005953 0.002732 2 416: 100% 341/341 [00:22<00:00, 15.01it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.14it/s] all 261 1002 0.963 0.92 0.961 0.68 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 181/199 1.5G 0.01678 0.006139 0.002907 2 416: 100% 341/341 [00:23<00:00, 14.79it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.30it/s] all 261 1002 0.974 0.917 0.963 0.679 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 182/199 1.5G 0.01668 0.005775 0.002814 4 416: 100% 341/341 [00:23<00:00, 14.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.46it/s] all 261 1002 0.971 0.923 0.965 0.689 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 183/199 1.5G 0.01718 0.005981 0.002904 2 416: 100% 341/341 [00:22<00:00, 14.99it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.48it/s] all 261 1002 0.97 0.923 0.964 0.692 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 184/199 1.5G 0.01689 0.006303 0.003028 1 416: 100% 341/341 [00:22<00:00, 14.89it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.42it/s] all 261 1002 0.985 0.923 0.967 0.694 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 185/199 1.5G 0.01657 0.005751 0.002749 1 416: 100% 341/341 [00:22<00:00, 14.90it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.55it/s] all 261 1002 0.963 0.939 0.967 0.689 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 186/199 1.5G 0.01659 0.005973 0.002659 5 416: 100% 341/341 [00:23<00:00, 14.56it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.32it/s] all 261 1002 0.962 0.933 0.966 0.7 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 187/199 1.5G 0.01722 0.006013 0.00259 4 416: 100% 341/341 [00:23<00:00, 14.72it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.36it/s] all 261 1002 0.954 0.941 0.964 0.692 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 188/199 1.5G 0.016 0.005641 0.002606 10 416: 100% 341/341 [00:23<00:00, 14.63it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.45it/s] all 261 1002 0.956 0.94 0.965 0.696 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 189/199 1.5G 0.01622 0.005662 0.002792 3 416: 100% 341/341 [00:23<00:00, 14.80it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.64it/s] all 261 1002 0.956 0.941 0.963 0.687 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 190/199 1.5G 0.01643 0.005878 0.002638 8 416: 100% 341/341 [00:22<00:00, 14.88it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.47it/s] all 261 1002 0.952 0.948 0.964 0.701 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 191/199 1.5G 0.01614 0.005833 0.002587 0 416: 100% 341/341 [00:23<00:00, 14.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.29it/s] all 261 1002 0.977 0.922 0.964 0.7 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 192/199 1.5G 0.01684 0.006048 0.002796 4 416: 100% 341/341 [00:22<00:00, 14.86it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.48it/s] all 261 1002 0.98 0.923 0.964 0.696 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 193/199 1.5G 0.01574 0.006042 0.002508 5 416: 100% 341/341 [00:22<00:00, 15.05it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.29it/s] all 261 1002 0.956 0.943 0.965 0.702 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 194/199 1.5G 0.01611 0.005649 0.002769 2 416: 100% 341/341 [00:23<00:00, 14.80it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.16it/s] all 261 1002 0.955 0.94 0.965 0.701 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 195/199 1.5G 0.01567 0.005469 0.00282 5 416: 100% 341/341 [00:22<00:00, 14.87it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.58it/s] all 261 1002 0.961 0.941 0.966 0.697 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 196/199 1.5G 0.01559 0.005775 0.002698 9 416: 100% 341/341 [00:22<00:00, 14.98it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.79it/s] all 261 1002 0.965 0.928 0.966 0.698 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 197/199 1.5G 0.01548 0.005966 0.002615 2 416: 100% 341/341 [00:23<00:00, 14.68it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.59it/s] all 261 1002 0.97 0.932 0.966 0.698 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 198/199 1.5G 0.01611 0.005909 0.00278 2 416: 100% 341/341 [00:22<00:00, 14.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.55it/s] all 261 1002 0.972 0.931 0.966 0.698 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 199/199 1.5G 0.01553 0.005769 0.002565 2 416: 100% 341/341 [00:22<00:00, 15.03it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 21.85it/s] all 261 1002 0.964 0.933 0.967 0.701 200 epochs completed in 1.532 hours. Optimizer stripped from runs/train/exp3/weights/last.pt, 92.8MB Optimizer stripped from runs/train/exp3/weights/best.pt, 92.8MB Validating runs/train/exp3/weights/best.pt... Fusing layers... Model summary: 267 layers, 46145973 parameters, 0 gradients, 107.8 GFLOPs Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.73it/s] all 261 1002 0.956 0.943 0.965 0.702 car 261 372 0.964 0.949 0.983 0.673 pickup 261 241 0.953 0.979 0.984 0.722 camping 261 129 0.978 0.938 0.967 0.756 truck 261 68 0.987 1 0.995 0.785 other 261 45 1 0.884 0.958 0.663 tractor 261 40 0.971 0.925 0.925 0.629 boat 261 75 0.911 0.933 0.95 0.69 van 261 32 0.881 0.938 0.955 0.697 Results saved to runs/train/exp3
In [4]:
p_yol5l = 0.956
r_yol5l = 0.943
mAP_yolo5l = 0.965
In [16]:
storeResults('YoloV5l',p_yol5l,r_yol5l,mAP_yolo5l)
In [17]:
# dislaying metrics for train data
from IPython.display import Image
from IPython.display import display
x = Image(filename='runs/train/exp3/F1_curve.png')
y = Image(filename='runs/train/exp3/PR_curve.png')
z = Image(filename='runs/train/exp3/confusion_matrix.png')
display(x, y,z)
YoloV5x¶
In [18]:
!wandb disabled
!python train.py --img 416 --batch 2 --epochs 200 --data /content/drive/MyDrive/16/yolo/data.yaml --weights yolov5x.pt --cache --workers 2
/bin/bash: line 1: wandb: command not found train: weights=yolov5x.pt, cfg=, data=/content/drive/MyDrive/16/yolo/data.yaml, hyp=data/hyps/hyp.scratch-low.yaml, epochs=200, batch_size=2, imgsz=416, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, noplots=False, evolve=None, bucket=, cache=ram, image_weights=False, device=, multi_scale=False, single_cls=False, optimizer=SGD, sync_bn=False, workers=2, project=runs/train, name=exp, exist_ok=False, quad=False, cos_lr=False, label_smoothing=0.0, patience=100, freeze=[0], save_period=-1, seed=0, local_rank=-1, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest github: up to date with https://github.com/ultralytics/yolov5 ✅ YOLOv5 🚀 v7.0-226-gdd9e338 Python-3.10.12 torch-2.0.1+cu118 CUDA:0 (Tesla T4, 15102MiB) hyperparameters: lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=0.05, cls=0.5, cls_pw=1.0, obj=1.0, obj_pw=1.0, iou_t=0.2, anchor_t=4.0, fl_gamma=0.0, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0 Comet: run 'pip install comet_ml' to automatically track and visualize YOLOv5 🚀 runs in Comet TensorBoard: Start with 'tensorboard --logdir runs/train', view at http://localhost:6006/ Downloading https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov5x.pt to yolov5x.pt... 100% 166M/166M [00:11<00:00, 15.7MB/s] Overriding model.yaml nc=80 with nc=8 from n params module arguments 0 -1 1 8800 models.common.Conv [3, 80, 6, 2, 2] 1 -1 1 115520 models.common.Conv [80, 160, 3, 2] 2 -1 4 309120 models.common.C3 [160, 160, 4] 3 -1 1 461440 models.common.Conv [160, 320, 3, 2] 4 -1 8 2259200 models.common.C3 [320, 320, 8] 5 -1 1 1844480 models.common.Conv [320, 640, 3, 2] 6 -1 12 13125120 models.common.C3 [640, 640, 12] 7 -1 1 7375360 models.common.Conv [640, 1280, 3, 2] 8 -1 4 19676160 models.common.C3 [1280, 1280, 4] 9 -1 1 4099840 models.common.SPPF [1280, 1280, 5] 10 -1 1 820480 models.common.Conv [1280, 640, 1, 1] 11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] 12 [-1, 6] 1 0 models.common.Concat [1] 13 -1 4 5332480 models.common.C3 [1280, 640, 4, False] 14 -1 1 205440 models.common.Conv [640, 320, 1, 1] 15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] 16 [-1, 4] 1 0 models.common.Concat [1] 17 -1 4 1335040 models.common.C3 [640, 320, 4, False] 18 -1 1 922240 models.common.Conv [320, 320, 3, 2] 19 [-1, 14] 1 0 models.common.Concat [1] 20 -1 4 4922880 models.common.C3 [640, 640, 4, False] 21 -1 1 3687680 models.common.Conv [640, 640, 3, 2] 22 [-1, 10] 1 0 models.common.Concat [1] 23 -1 4 19676160 models.common.C3 [1280, 1280, 4, False] 24 [17, 20, 23] 1 87477 models.yolo.Detect [8, [[10, 13, 16, 30, 33, 23], [30, 61, 62, 45, 59, 119], [116, 90, 156, 198, 373, 326]], [320, 640, 1280]] Model summary: 445 layers, 86264917 parameters, 86264917 gradients, 204.8 GFLOPs Transferred 739/745 items from yolov5x.pt AMP: checks passed ✅ optimizer: SGD(lr=0.01) with parameter groups 123 weight(decay=0.0), 126 weight(decay=0.0005), 126 bias albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8)) train: Scanning /content/drive/MyDrive/16/yolo/train/labels.cache... 691 images, 11 backgrounds, 10 corrupt: 100% 691/691 [00:00<?, ?it/s] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000033.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0004] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000044.png: ignoring corrupt image/label: negative label values [ -0.0036738] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000111.png: ignoring corrupt image/label: negative label values [-5.7568e-05] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000219.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0015] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000281.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0083] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000338.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0045] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000463.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.001] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000484.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0029] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000550.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0095] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000614.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0007] train: Caching images (0.3GB ram): 100% 681/681 [00:01<00:00, 558.44it/s] val: Scanning /content/drive/MyDrive/16/yolo/valid/labels.cache... 265 images, 9 backgrounds, 4 corrupt: 100% 265/265 [00:00<?, ?it/s] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000033.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0004] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000044.png: ignoring corrupt image/label: negative label values [ -0.0036738] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000111.png: ignoring corrupt image/label: negative label values [-5.7568e-05] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000219.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0015] val: Caching images (0.1GB ram): 100% 261/261 [00:00<00:00, 378.29it/s] AutoAnchor: 3.41 anchors/target, 1.000 Best Possible Recall (BPR). Current anchors are a good fit to dataset ✅ Plotting labels to runs/train/exp4/labels.jpg... Image sizes 416 train, 416 val Using 2 dataloader workers Logging results to runs/train/exp4 Starting training for 200 epochs... Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 0/199 2.4G 0.07406 0.01658 0.03624 4 416: 100% 341/341 [00:40<00:00, 8.33it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.10it/s] all 261 1002 0.00265 0.149 0.00417 0.00107 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 1/199 2.4G 0.05589 0.01689 0.03261 9 416: 100% 341/341 [00:33<00:00, 10.04it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.28it/s] all 261 1002 0.0139 0.464 0.0384 0.0112 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 2/199 2.41G 0.0521 0.01478 0.0315 2 416: 100% 341/341 [00:33<00:00, 10.06it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.08it/s] all 261 1002 0.583 0.134 0.0816 0.0301 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 3/199 2.41G 0.04822 0.01391 0.03157 3 416: 100% 341/341 [00:33<00:00, 10.12it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.51it/s] all 261 1002 0.585 0.129 0.0667 0.0159 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 4/199 2.41G 0.04289 0.0129 0.03098 3 416: 100% 341/341 [00:33<00:00, 10.14it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.39it/s] all 261 1002 0.638 0.194 0.155 0.0492 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 5/199 2.41G 0.03906 0.01283 0.03003 6 416: 100% 341/341 [00:33<00:00, 10.05it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.28it/s] all 261 1002 0.673 0.245 0.188 0.0837 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 6/199 2.41G 0.03799 0.01199 0.029 8 416: 100% 341/341 [00:33<00:00, 10.09it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.41it/s] all 261 1002 0.625 0.28 0.2 0.0793 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 7/199 2.41G 0.03894 0.01202 0.02899 4 416: 100% 341/341 [00:33<00:00, 10.07it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.46it/s] all 261 1002 0.583 0.301 0.229 0.0859 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 8/199 2.41G 0.03515 0.01142 0.02674 2 416: 100% 341/341 [00:33<00:00, 10.14it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.22it/s] all 261 1002 0.628 0.322 0.274 0.122 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 9/199 2.41G 0.03599 0.01172 0.02611 17 416: 100% 341/341 [00:33<00:00, 10.15it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.20it/s] all 261 1002 0.616 0.328 0.289 0.128 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 10/199 2.41G 0.03448 0.01097 0.02436 6 416: 100% 341/341 [00:33<00:00, 10.15it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 14.60it/s] all 261 1002 0.503 0.333 0.296 0.125 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 11/199 2.41G 0.03365 0.01105 0.02392 2 416: 100% 341/341 [00:33<00:00, 10.16it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.51it/s] all 261 1002 0.629 0.309 0.284 0.111 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 12/199 2.41G 0.03407 0.01076 0.02438 13 416: 100% 341/341 [00:33<00:00, 10.11it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.33it/s] all 261 1002 0.375 0.413 0.311 0.137 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 13/199 2.41G 0.03265 0.01064 0.02362 2 416: 100% 341/341 [00:33<00:00, 10.10it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.36it/s] all 261 1002 0.431 0.434 0.362 0.174 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 14/199 2.41G 0.03363 0.0108 0.02371 5 416: 100% 341/341 [00:33<00:00, 10.08it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.40it/s] all 261 1002 0.474 0.437 0.406 0.201 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 15/199 2.41G 0.03271 0.01155 0.02289 4 416: 100% 341/341 [00:33<00:00, 10.12it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.38it/s] all 261 1002 0.412 0.474 0.398 0.197 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 16/199 2.41G 0.03155 0.0105 0.02257 1 416: 100% 341/341 [00:33<00:00, 10.15it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.54it/s] all 261 1002 0.515 0.486 0.4 0.188 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 17/199 2.41G 0.03199 0.01034 0.02191 0 416: 100% 341/341 [00:33<00:00, 10.14it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.41it/s] all 261 1002 0.643 0.422 0.428 0.195 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 18/199 2.41G 0.03166 0.01069 0.02151 2 416: 100% 341/341 [00:33<00:00, 10.11it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.32it/s] all 261 1002 0.527 0.431 0.445 0.217 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 19/199 2.41G 0.03263 0.0106 0.02122 6 416: 100% 341/341 [00:33<00:00, 10.10it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.36it/s] all 261 1002 0.583 0.537 0.498 0.25 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 20/199 2.41G 0.03076 0.01038 0.02047 4 416: 100% 341/341 [00:33<00:00, 10.09it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.33it/s] all 261 1002 0.703 0.355 0.446 0.207 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 21/199 2.41G 0.03192 0.01076 0.02028 15 416: 100% 341/341 [00:33<00:00, 10.09it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.42it/s] all 261 1002 0.548 0.5 0.459 0.229 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 22/199 2.41G 0.02958 0.00949 0.01958 0 416: 100% 341/341 [00:33<00:00, 10.12it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.36it/s] all 261 1002 0.547 0.532 0.49 0.244 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 23/199 2.41G 0.02988 0.01042 0.0195 1 416: 100% 341/341 [00:33<00:00, 10.14it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.48it/s] all 261 1002 0.735 0.447 0.502 0.233 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 24/199 2.41G 0.03227 0.01105 0.02003 2 416: 100% 341/341 [00:33<00:00, 10.16it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.44it/s] all 261 1002 0.706 0.451 0.505 0.254 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 25/199 2.41G 0.03099 0.01042 0.02002 12 416: 100% 341/341 [00:33<00:00, 10.15it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.46it/s] all 261 1002 0.595 0.513 0.538 0.269 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 26/199 2.41G 0.0309 0.01034 0.01938 9 416: 100% 341/341 [00:33<00:00, 10.12it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.35it/s] all 261 1002 0.64 0.467 0.494 0.233 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 27/199 2.41G 0.02932 0.009867 0.01817 1 416: 100% 341/341 [00:33<00:00, 10.06it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.39it/s] all 261 1002 0.578 0.536 0.516 0.256 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 28/199 2.41G 0.02905 0.009653 0.0184 0 416: 100% 341/341 [00:33<00:00, 10.21it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.52it/s] all 261 1002 0.568 0.534 0.518 0.237 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 29/199 2.41G 0.02861 0.009534 0.0172 0 416: 100% 341/341 [00:33<00:00, 10.18it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.42it/s] all 261 1002 0.694 0.486 0.564 0.282 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 30/199 2.41G 0.02808 0.009709 0.01677 0 416: 100% 341/341 [00:33<00:00, 10.09it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.47it/s] all 261 1002 0.637 0.548 0.565 0.286 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 31/199 2.41G 0.02861 0.00966 0.01644 6 416: 100% 341/341 [00:33<00:00, 10.14it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.53it/s] all 261 1002 0.608 0.547 0.577 0.292 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 32/199 2.41G 0.03018 0.01012 0.01655 2 416: 100% 341/341 [00:33<00:00, 10.16it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.43it/s] all 261 1002 0.67 0.58 0.6 0.303 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 33/199 2.41G 0.02865 0.009582 0.01694 1 416: 100% 341/341 [00:33<00:00, 10.17it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.39it/s] all 261 1002 0.678 0.567 0.625 0.317 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 34/199 2.41G 0.02961 0.009881 0.01667 1 416: 100% 341/341 [00:33<00:00, 10.10it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.33it/s] all 261 1002 0.672 0.525 0.58 0.282 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 35/199 2.41G 0.0286 0.009663 0.01599 1 416: 100% 341/341 [00:33<00:00, 10.04it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.35it/s] all 261 1002 0.703 0.577 0.645 0.324 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 36/199 2.41G 0.02887 0.009679 0.01639 13 416: 100% 341/341 [00:34<00:00, 9.94it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.38it/s] all 261 1002 0.733 0.578 0.645 0.332 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 37/199 2.41G 0.02883 0.009157 0.0151 0 416: 100% 341/341 [00:33<00:00, 10.10it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.38it/s] all 261 1002 0.747 0.569 0.653 0.324 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 38/199 2.41G 0.02763 0.009437 0.01534 6 416: 100% 341/341 [00:33<00:00, 10.14it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.29it/s] all 261 1002 0.738 0.621 0.682 0.366 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 39/199 2.41G 0.02762 0.009564 0.01534 9 416: 100% 341/341 [00:33<00:00, 10.11it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.34it/s] all 261 1002 0.716 0.607 0.704 0.371 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 40/199 2.41G 0.02706 0.009459 0.01442 6 416: 100% 341/341 [00:33<00:00, 10.13it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.41it/s] all 261 1002 0.775 0.576 0.684 0.373 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 41/199 2.41G 0.02757 0.009838 0.01468 3 416: 100% 341/341 [00:33<00:00, 10.16it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.45it/s] all 261 1002 0.751 0.577 0.686 0.364 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 42/199 2.41G 0.02953 0.009198 0.01372 0 416: 100% 341/341 [00:33<00:00, 10.09it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.46it/s] all 261 1002 0.78 0.561 0.701 0.356 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 43/199 2.41G 0.02657 0.0096 0.01473 7 416: 100% 341/341 [00:33<00:00, 10.10it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.57it/s] all 261 1002 0.714 0.63 0.689 0.353 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 44/199 2.41G 0.02672 0.009015 0.01446 4 416: 100% 341/341 [00:33<00:00, 10.15it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.39it/s] all 261 1002 0.704 0.552 0.647 0.338 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 45/199 2.41G 0.02677 0.009534 0.01401 2 416: 100% 341/341 [00:33<00:00, 10.16it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.32it/s] all 261 1002 0.753 0.584 0.688 0.363 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 46/199 2.41G 0.02643 0.008641 0.01317 7 416: 100% 341/341 [00:33<00:00, 10.12it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.37it/s] all 261 1002 0.713 0.613 0.695 0.362 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 47/199 2.41G 0.02674 0.00894 0.01413 2 416: 100% 341/341 [00:33<00:00, 10.11it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.41it/s] all 261 1002 0.811 0.6 0.718 0.402 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 48/199 2.41G 0.02492 0.008721 0.01241 0 416: 100% 341/341 [00:33<00:00, 10.15it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.38it/s] all 261 1002 0.805 0.631 0.753 0.4 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 49/199 2.41G 0.02637 0.008978 0.01362 3 416: 100% 341/341 [00:33<00:00, 10.06it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.41it/s] all 261 1002 0.777 0.662 0.768 0.433 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 50/199 2.41G 0.0269 0.009115 0.01323 6 416: 100% 341/341 [00:33<00:00, 10.11it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.35it/s] all 261 1002 0.778 0.642 0.768 0.434 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 51/199 2.41G 0.02754 0.009332 0.01338 3 416: 100% 341/341 [00:33<00:00, 10.11it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.29it/s] all 261 1002 0.814 0.652 0.775 0.431 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 52/199 2.41G 0.02597 0.008567 0.01252 13 416: 100% 341/341 [00:33<00:00, 10.06it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.33it/s] all 261 1002 0.797 0.618 0.756 0.408 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 53/199 2.41G 0.02643 0.008803 0.01096 6 416: 100% 341/341 [00:33<00:00, 10.06it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.34it/s] all 261 1002 0.779 0.658 0.77 0.411 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 54/199 2.41G 0.02691 0.008411 0.01168 2 416: 100% 341/341 [00:33<00:00, 10.03it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.30it/s] all 261 1002 0.807 0.629 0.761 0.422 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 55/199 2.41G 0.02528 0.008718 0.01096 0 416: 100% 341/341 [00:33<00:00, 10.12it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.32it/s] all 261 1002 0.877 0.635 0.806 0.47 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 56/199 2.41G 0.02528 0.008761 0.01164 5 416: 100% 341/341 [00:33<00:00, 10.13it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.41it/s] all 261 1002 0.852 0.674 0.817 0.442 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 57/199 2.41G 0.02511 0.008926 0.01103 2 416: 100% 341/341 [00:33<00:00, 10.09it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.37it/s] all 261 1002 0.862 0.659 0.803 0.442 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 58/199 2.41G 0.02577 0.008781 0.01101 1 416: 100% 341/341 [00:33<00:00, 10.05it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.41it/s] all 261 1002 0.827 0.629 0.77 0.43 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 59/199 2.41G 0.02592 0.008632 0.01115 1 416: 100% 341/341 [00:33<00:00, 10.14it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.37it/s] all 261 1002 0.814 0.667 0.796 0.468 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 60/199 2.41G 0.02592 0.008464 0.01156 5 416: 100% 341/341 [00:33<00:00, 10.05it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.18it/s] all 261 1002 0.766 0.736 0.79 0.472 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 61/199 2.41G 0.0255 0.008881 0.01126 3 416: 100% 341/341 [00:33<00:00, 10.08it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.38it/s] all 261 1002 0.774 0.695 0.783 0.447 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 62/199 2.41G 0.02523 0.008566 0.01005 0 416: 100% 341/341 [00:33<00:00, 10.11it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.37it/s] all 261 1002 0.783 0.682 0.791 0.439 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 63/199 2.41G 0.02392 0.008013 0.01027 2 416: 100% 341/341 [00:33<00:00, 10.15it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.31it/s] all 261 1002 0.755 0.774 0.828 0.485 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 64/199 2.41G 0.02544 0.00843 0.01009 3 416: 100% 341/341 [00:33<00:00, 10.10it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.24it/s] all 261 1002 0.765 0.756 0.835 0.489 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 65/199 2.41G 0.02641 0.00833 0.01006 6 416: 100% 341/341 [00:33<00:00, 10.12it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.23it/s] all 261 1002 0.767 0.761 0.825 0.471 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 66/199 2.41G 0.02504 0.008464 0.01047 10 416: 100% 341/341 [00:33<00:00, 10.17it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.34it/s] all 261 1002 0.81 0.758 0.846 0.474 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 67/199 2.41G 0.02544 0.008807 0.01029 2 416: 100% 341/341 [00:33<00:00, 10.10it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.46it/s] all 261 1002 0.798 0.73 0.825 0.478 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 68/199 2.41G 0.0245 0.007868 0.009662 1 416: 100% 341/341 [00:33<00:00, 10.07it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.39it/s] all 261 1002 0.817 0.759 0.851 0.481 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 69/199 2.41G 0.02332 0.008001 0.008909 0 416: 100% 341/341 [00:33<00:00, 10.11it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.35it/s] all 261 1002 0.827 0.754 0.854 0.495 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 70/199 2.41G 0.02401 0.008421 0.009509 2 416: 100% 341/341 [00:33<00:00, 10.04it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.26it/s] all 261 1002 0.812 0.769 0.869 0.528 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 71/199 2.41G 0.02498 0.008002 0.009638 3 416: 100% 341/341 [00:33<00:00, 10.10it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.33it/s] all 261 1002 0.836 0.724 0.846 0.479 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 72/199 2.41G 0.02465 0.008882 0.009481 5 416: 100% 341/341 [00:33<00:00, 10.05it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.34it/s] all 261 1002 0.845 0.764 0.859 0.493 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 73/199 2.41G 0.02469 0.007637 0.009266 2 416: 100% 341/341 [00:33<00:00, 10.16it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.40it/s] all 261 1002 0.854 0.721 0.843 0.51 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 74/199 2.41G 0.02435 0.007941 0.007981 6 416: 100% 341/341 [00:33<00:00, 10.16it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.42it/s] all 261 1002 0.878 0.734 0.864 0.506 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 75/199 2.41G 0.02447 0.008015 0.008233 2 416: 100% 341/341 [00:33<00:00, 10.10it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.43it/s] all 261 1002 0.825 0.753 0.839 0.484 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 76/199 2.41G 0.02376 0.008376 0.008722 2 416: 100% 341/341 [00:33<00:00, 10.14it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.38it/s] all 261 1002 0.864 0.765 0.861 0.514 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 77/199 2.41G 0.02388 0.007616 0.008286 1 416: 100% 341/341 [00:33<00:00, 10.13it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.46it/s] all 261 1002 0.83 0.76 0.86 0.529 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 78/199 2.41G 0.0231 0.008026 0.007528 8 416: 100% 341/341 [00:33<00:00, 10.13it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.21it/s] all 261 1002 0.869 0.759 0.872 0.531 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 79/199 2.41G 0.02337 0.007565 0.007737 2 416: 100% 341/341 [00:33<00:00, 10.14it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.30it/s] all 261 1002 0.817 0.777 0.873 0.535 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 80/199 2.41G 0.02337 0.008066 0.007828 0 416: 100% 341/341 [00:33<00:00, 10.18it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.40it/s] all 261 1002 0.818 0.791 0.882 0.523 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 81/199 2.41G 0.02402 0.008068 0.008243 4 416: 100% 341/341 [00:33<00:00, 10.15it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.46it/s] all 261 1002 0.813 0.787 0.864 0.518 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 82/199 2.41G 0.0231 0.007756 0.008036 5 416: 100% 341/341 [00:33<00:00, 10.18it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.53it/s] all 261 1002 0.85 0.798 0.879 0.526 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 83/199 2.41G 0.02373 0.0079 0.007871 5 416: 100% 341/341 [00:33<00:00, 10.12it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.45it/s] all 261 1002 0.872 0.805 0.898 0.553 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 84/199 2.41G 0.02461 0.007844 0.007607 1 416: 100% 341/341 [00:33<00:00, 10.08it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.35it/s] all 261 1002 0.808 0.833 0.893 0.545 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 85/199 2.41G 0.02345 0.008048 0.007185 3 416: 100% 341/341 [00:33<00:00, 10.13it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.25it/s] all 261 1002 0.88 0.817 0.894 0.538 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 86/199 2.41G 0.02356 0.007553 0.007316 6 416: 100% 341/341 [00:33<00:00, 10.11it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.35it/s] all 261 1002 0.887 0.803 0.891 0.555 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 87/199 2.41G 0.02297 0.007391 0.007311 3 416: 100% 341/341 [00:33<00:00, 10.17it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.36it/s] all 261 1002 0.858 0.805 0.899 0.543 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 88/199 2.41G 0.02326 0.008036 0.007577 8 416: 100% 341/341 [00:33<00:00, 10.22it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.43it/s] all 261 1002 0.872 0.822 0.905 0.556 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 89/199 2.41G 0.02285 0.007234 0.006806 10 416: 100% 341/341 [00:33<00:00, 10.14it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.41it/s] all 261 1002 0.909 0.828 0.91 0.547 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 90/199 2.41G 0.02246 0.007663 0.006741 3 416: 100% 341/341 [00:33<00:00, 10.14it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.45it/s] all 261 1002 0.9 0.801 0.898 0.534 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 91/199 2.41G 0.02158 0.007124 0.006651 1 416: 100% 341/341 [00:33<00:00, 10.24it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.44it/s] all 261 1002 0.902 0.8 0.899 0.559 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 92/199 2.41G 0.0213 0.007389 0.007005 5 416: 100% 341/341 [00:33<00:00, 10.10it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.29it/s] all 261 1002 0.912 0.824 0.909 0.569 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 93/199 2.41G 0.02224 0.00736 0.006112 0 416: 100% 341/341 [00:33<00:00, 10.14it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.37it/s] all 261 1002 0.898 0.798 0.904 0.563 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 94/199 2.41G 0.02336 0.007432 0.005757 13 416: 100% 341/341 [00:33<00:00, 10.13it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.51it/s] all 261 1002 0.886 0.823 0.902 0.537 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 95/199 2.41G 0.02281 0.007459 0.005635 2 416: 100% 341/341 [00:33<00:00, 10.15it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.37it/s] all 261 1002 0.855 0.847 0.909 0.559 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 96/199 2.41G 0.02244 0.007038 0.005753 5 416: 100% 341/341 [00:33<00:00, 10.15it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.42it/s] all 261 1002 0.872 0.863 0.917 0.582 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 97/199 2.41G 0.02278 0.007148 0.005668 2 416: 100% 341/341 [00:34<00:00, 9.99it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.26it/s] all 261 1002 0.924 0.822 0.914 0.569 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 98/199 2.41G 0.02205 0.007552 0.006189 1 416: 100% 341/341 [00:33<00:00, 10.08it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.40it/s] all 261 1002 0.902 0.866 0.93 0.589 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 99/199 2.41G 0.02116 0.007189 0.005829 3 416: 100% 341/341 [00:33<00:00, 10.12it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.17it/s] all 261 1002 0.913 0.851 0.928 0.578 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 100/199 2.41G 0.02125 0.006663 0.005149 3 416: 100% 341/341 [00:33<00:00, 10.09it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.29it/s] all 261 1002 0.899 0.837 0.922 0.587 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 101/199 2.41G 0.02229 0.007452 0.005274 11 416: 100% 341/341 [00:34<00:00, 10.02it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.28it/s] all 261 1002 0.924 0.844 0.924 0.598 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 102/199 2.41G 0.02146 0.007001 0.005874 11 416: 100% 341/341 [00:33<00:00, 10.04it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.23it/s] all 261 1002 0.905 0.854 0.933 0.582 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 103/199 2.41G 0.02134 0.007152 0.006296 2 416: 100% 341/341 [00:34<00:00, 9.94it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.18it/s] all 261 1002 0.914 0.863 0.928 0.601 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 104/199 2.41G 0.02143 0.006784 0.005914 9 416: 100% 341/341 [00:34<00:00, 10.01it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.07it/s] all 261 1002 0.897 0.852 0.926 0.577 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 105/199 2.41G 0.02166 0.008039 0.005572 14 416: 100% 341/341 [00:34<00:00, 10.00it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.09it/s] all 261 1002 0.912 0.844 0.932 0.609 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 106/199 2.41G 0.02156 0.007121 0.00607 7 416: 100% 341/341 [00:34<00:00, 10.01it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.16it/s] all 261 1002 0.913 0.857 0.932 0.592 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 107/199 2.41G 0.02097 0.006776 0.005483 3 416: 100% 341/341 [00:34<00:00, 10.02it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.17it/s] all 261 1002 0.883 0.895 0.936 0.599 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 108/199 2.41G 0.02178 0.007107 0.005526 8 416: 100% 341/341 [00:34<00:00, 10.03it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.09it/s] all 261 1002 0.925 0.874 0.939 0.602 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 109/199 2.41G 0.02181 0.007006 0.004981 7 416: 100% 341/341 [00:34<00:00, 9.98it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.24it/s] all 261 1002 0.916 0.864 0.939 0.584 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 110/199 2.41G 0.02065 0.006699 0.005 0 416: 100% 341/341 [00:34<00:00, 9.99it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.18it/s] all 261 1002 0.905 0.889 0.938 0.605 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 111/199 2.41G 0.02049 0.00689 0.004758 4 416: 100% 341/341 [00:34<00:00, 10.02it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.15it/s] all 261 1002 0.895 0.871 0.937 0.596 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 112/199 2.41G 0.02046 0.006817 0.004781 0 416: 100% 341/341 [00:33<00:00, 10.06it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.09it/s] all 261 1002 0.944 0.873 0.941 0.601 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 113/199 2.41G 0.02058 0.006711 0.004873 1 416: 100% 341/341 [00:33<00:00, 10.08it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.24it/s] all 261 1002 0.923 0.874 0.943 0.605 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 114/199 2.41G 0.02015 0.007279 0.004742 0 416: 100% 341/341 [00:33<00:00, 10.04it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.33it/s] all 261 1002 0.94 0.897 0.948 0.623 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 115/199 2.41G 0.02001 0.006592 0.004989 1 416: 100% 341/341 [00:33<00:00, 10.05it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.34it/s] all 261 1002 0.951 0.903 0.943 0.632 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 116/199 2.41G 0.02058 0.006982 0.0052 10 416: 100% 341/341 [00:33<00:00, 10.04it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.33it/s] all 261 1002 0.949 0.888 0.948 0.632 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 117/199 2.41G 0.02028 0.006868 0.005141 1 416: 100% 341/341 [00:33<00:00, 10.18it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.34it/s] all 261 1002 0.929 0.913 0.952 0.624 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 118/199 2.41G 0.02102 0.006785 0.005024 6 416: 100% 341/341 [00:33<00:00, 10.09it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.28it/s] all 261 1002 0.94 0.878 0.947 0.629 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 119/199 2.41G 0.0201 0.006586 0.004634 1 416: 100% 341/341 [00:33<00:00, 10.14it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.34it/s] all 261 1002 0.954 0.905 0.953 0.633 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 120/199 2.41G 0.01961 0.006954 0.004593 2 416: 100% 341/341 [00:33<00:00, 10.10it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.40it/s] all 261 1002 0.952 0.898 0.955 0.629 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 121/199 2.41G 0.02096 0.007177 0.004629 6 416: 100% 341/341 [00:33<00:00, 10.13it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.47it/s] all 261 1002 0.964 0.903 0.959 0.637 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 122/199 2.41G 0.01984 0.00648 0.004384 2 416: 100% 341/341 [00:33<00:00, 10.19it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.53it/s] all 261 1002 0.954 0.891 0.958 0.645 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 123/199 2.41G 0.02075 0.006394 0.004583 3 416: 100% 341/341 [00:33<00:00, 10.12it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.26it/s] all 261 1002 0.949 0.9 0.959 0.634 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 124/199 2.41G 0.02006 0.007156 0.004302 5 416: 100% 341/341 [00:33<00:00, 10.15it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.35it/s] all 261 1002 0.945 0.895 0.955 0.637 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 125/199 2.41G 0.02002 0.006541 0.004656 4 416: 100% 341/341 [00:33<00:00, 10.23it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.33it/s] all 261 1002 0.958 0.917 0.961 0.636 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 126/199 2.41G 0.02059 0.006746 0.004257 2 416: 100% 341/341 [00:33<00:00, 10.22it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.40it/s] all 261 1002 0.952 0.915 0.958 0.635 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 127/199 2.41G 0.01993 0.006568 0.004338 4 416: 100% 341/341 [00:33<00:00, 10.19it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.32it/s] all 261 1002 0.945 0.906 0.957 0.634 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 128/199 2.41G 0.01992 0.00672 0.00444 4 416: 100% 341/341 [00:33<00:00, 10.20it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.18it/s] all 261 1002 0.934 0.902 0.958 0.631 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 129/199 2.41G 0.02062 0.006676 0.004611 3 416: 100% 341/341 [00:33<00:00, 10.08it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.16it/s] all 261 1002 0.944 0.919 0.962 0.659 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 130/199 2.41G 0.0192 0.006523 0.003954 4 416: 100% 341/341 [00:33<00:00, 10.07it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.26it/s] all 261 1002 0.967 0.921 0.966 0.662 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 131/199 2.41G 0.01924 0.006211 0.003961 8 416: 100% 341/341 [00:34<00:00, 10.00it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.36it/s] all 261 1002 0.959 0.924 0.963 0.647 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 132/199 2.41G 0.01953 0.006501 0.003929 2 416: 100% 341/341 [00:33<00:00, 10.13it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.26it/s] all 261 1002 0.959 0.913 0.964 0.663 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 133/199 2.41G 0.0195 0.006351 0.003829 12 416: 100% 341/341 [00:34<00:00, 9.94it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.16it/s] all 261 1002 0.954 0.919 0.963 0.646 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 134/199 2.41G 0.01943 0.006744 0.003691 1 416: 100% 341/341 [00:33<00:00, 10.10it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.26it/s] all 261 1002 0.96 0.918 0.964 0.651 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 135/199 2.41G 0.01986 0.006613 0.003926 3 416: 100% 341/341 [00:33<00:00, 10.10it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.34it/s] all 261 1002 0.961 0.909 0.962 0.654 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 136/199 2.41G 0.01938 0.006067 0.00385 5 416: 100% 341/341 [00:33<00:00, 10.08it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.36it/s] all 261 1002 0.947 0.921 0.967 0.667 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 137/199 2.41G 0.01983 0.006423 0.003815 1 416: 100% 341/341 [00:33<00:00, 10.08it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.28it/s] all 261 1002 0.947 0.932 0.966 0.657 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 138/199 2.41G 0.01933 0.006413 0.003919 0 416: 100% 341/341 [00:33<00:00, 10.14it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.24it/s] all 261 1002 0.946 0.937 0.966 0.675 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 139/199 2.41G 0.01881 0.005957 0.003443 2 416: 100% 341/341 [00:33<00:00, 10.06it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.19it/s] all 261 1002 0.951 0.935 0.967 0.679 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 140/199 2.41G 0.01888 0.00617 0.00378 4 416: 100% 341/341 [00:33<00:00, 10.09it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.33it/s] all 261 1002 0.952 0.93 0.964 0.665 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 141/199 2.41G 0.01905 0.006168 0.003632 14 416: 100% 341/341 [00:33<00:00, 10.06it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.43it/s] all 261 1002 0.954 0.928 0.965 0.681 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 142/199 2.41G 0.01788 0.006022 0.003299 0 416: 100% 341/341 [00:34<00:00, 10.03it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.14it/s] all 261 1002 0.954 0.935 0.967 0.675 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 143/199 2.41G 0.01912 0.00648 0.003534 1 416: 100% 341/341 [00:34<00:00, 10.01it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.26it/s] all 261 1002 0.952 0.937 0.969 0.671 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 144/199 2.41G 0.01814 0.006187 0.003674 1 416: 100% 341/341 [00:33<00:00, 10.11it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.25it/s] all 261 1002 0.948 0.946 0.97 0.68 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 145/199 2.41G 0.01878 0.006199 0.00317 3 416: 100% 341/341 [00:33<00:00, 10.06it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.20it/s] all 261 1002 0.963 0.928 0.969 0.672 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 146/199 2.41G 0.01848 0.006266 0.003093 2 416: 100% 341/341 [00:34<00:00, 10.01it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.30it/s] all 261 1002 0.952 0.929 0.967 0.666 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 147/199 2.41G 0.01771 0.005853 0.003061 1 416: 100% 341/341 [00:33<00:00, 10.13it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.34it/s] all 261 1002 0.972 0.924 0.97 0.681 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 148/199 2.41G 0.01817 0.006024 0.002972 1 416: 100% 341/341 [00:33<00:00, 10.06it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.16it/s] all 261 1002 0.973 0.916 0.971 0.681 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 149/199 2.41G 0.01911 0.00611 0.003123 2 416: 100% 341/341 [00:33<00:00, 10.03it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.28it/s] all 261 1002 0.951 0.944 0.971 0.681 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 150/199 2.41G 0.01788 0.005862 0.00301 5 416: 100% 341/341 [00:33<00:00, 10.11it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.23it/s] all 261 1002 0.966 0.946 0.973 0.684 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 151/199 2.41G 0.01821 0.005947 0.002994 0 416: 100% 341/341 [00:33<00:00, 10.07it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.13it/s] all 261 1002 0.969 0.95 0.975 0.696 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 152/199 2.41G 0.0176 0.005717 0.003056 12 416: 100% 341/341 [00:33<00:00, 10.05it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.33it/s] all 261 1002 0.971 0.934 0.975 0.694 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 153/199 2.41G 0.0178 0.005707 0.002866 1 416: 100% 341/341 [00:33<00:00, 10.05it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.22it/s] all 261 1002 0.975 0.942 0.975 0.704 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 154/199 2.41G 0.01742 0.005911 0.00326 15 416: 100% 341/341 [00:33<00:00, 10.07it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.10it/s] all 261 1002 0.978 0.937 0.973 0.69 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 155/199 2.41G 0.01779 0.00567 0.002682 2 416: 100% 341/341 [00:33<00:00, 10.11it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.08it/s] all 261 1002 0.969 0.933 0.972 0.689 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 156/199 2.41G 0.01781 0.006037 0.002826 3 416: 100% 341/341 [00:33<00:00, 10.10it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.20it/s] all 261 1002 0.962 0.939 0.97 0.699 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 157/199 2.41G 0.01761 0.005881 0.002885 7 416: 100% 341/341 [00:33<00:00, 10.13it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.21it/s] all 261 1002 0.968 0.932 0.971 0.699 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 158/199 2.41G 0.01785 0.005752 0.002879 1 416: 100% 341/341 [00:33<00:00, 10.10it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.21it/s] all 261 1002 0.97 0.947 0.973 0.688 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 159/199 2.41G 0.01718 0.005913 0.002988 14 416: 100% 341/341 [00:33<00:00, 10.12it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.24it/s] all 261 1002 0.97 0.937 0.975 0.711 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 160/199 2.41G 0.01755 0.006133 0.002872 1 416: 100% 341/341 [00:34<00:00, 9.97it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.31it/s] all 261 1002 0.97 0.945 0.973 0.702 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 161/199 2.41G 0.01686 0.006145 0.002696 15 416: 100% 341/341 [00:33<00:00, 10.09it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.34it/s] all 261 1002 0.973 0.943 0.973 0.696 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 162/199 2.41G 0.0171 0.006392 0.002901 6 416: 100% 341/341 [00:33<00:00, 10.09it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.29it/s] all 261 1002 0.978 0.941 0.975 0.704 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 163/199 2.41G 0.0169 0.005662 0.002849 5 416: 100% 341/341 [00:33<00:00, 10.15it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.22it/s] all 261 1002 0.978 0.939 0.976 0.707 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 164/199 2.41G 0.01712 0.005701 0.002558 2 416: 100% 341/341 [00:33<00:00, 10.11it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.20it/s] all 261 1002 0.973 0.941 0.975 0.711 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 165/199 2.41G 0.01683 0.005777 0.002628 2 416: 100% 341/341 [00:33<00:00, 10.11it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.17it/s] all 261 1002 0.972 0.948 0.975 0.708 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 166/199 2.41G 0.01697 0.006096 0.002533 1 416: 100% 341/341 [00:33<00:00, 10.12it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.27it/s] all 261 1002 0.975 0.945 0.975 0.704 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 167/199 2.41G 0.0171 0.005803 0.002557 17 416: 100% 341/341 [00:34<00:00, 9.97it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.30it/s] all 261 1002 0.973 0.95 0.974 0.712 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 168/199 2.41G 0.01657 0.005588 0.002563 0 416: 100% 341/341 [00:33<00:00, 10.12it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.18it/s] all 261 1002 0.968 0.951 0.975 0.719 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 169/199 2.41G 0.01675 0.006029 0.00261 11 416: 100% 341/341 [00:33<00:00, 10.06it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.36it/s] all 261 1002 0.978 0.951 0.975 0.721 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 170/199 2.41G 0.01586 0.005629 0.002165 6 416: 100% 341/341 [00:33<00:00, 10.12it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.31it/s] all 261 1002 0.98 0.951 0.975 0.72 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 171/199 2.41G 0.01652 0.00572 0.00271 5 416: 100% 341/341 [00:33<00:00, 10.14it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.33it/s] all 261 1002 0.97 0.949 0.974 0.718 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 172/199 2.41G 0.01667 0.005543 0.002498 2 416: 100% 341/341 [00:33<00:00, 10.07it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.42it/s] all 261 1002 0.973 0.949 0.976 0.72 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 173/199 2.41G 0.01646 0.005536 0.002548 2 416: 100% 341/341 [00:33<00:00, 10.17it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.42it/s] all 261 1002 0.982 0.936 0.973 0.714 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 174/199 2.41G 0.01589 0.005498 0.002366 5 416: 100% 341/341 [00:33<00:00, 10.19it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.25it/s] all 261 1002 0.965 0.955 0.974 0.711 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 175/199 2.41G 0.01638 0.005525 0.002425 2 416: 100% 341/341 [00:33<00:00, 10.08it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.25it/s] all 261 1002 0.977 0.945 0.972 0.722 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 176/199 2.41G 0.01607 0.005463 0.002367 2 416: 100% 341/341 [00:33<00:00, 10.09it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.08it/s] all 261 1002 0.976 0.943 0.974 0.718 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 177/199 2.41G 0.01574 0.005525 0.002749 2 416: 100% 341/341 [00:33<00:00, 10.13it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.09it/s] all 261 1002 0.976 0.944 0.974 0.731 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 178/199 2.41G 0.01575 0.005554 0.002234 3 416: 100% 341/341 [00:33<00:00, 10.10it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.34it/s] all 261 1002 0.98 0.942 0.975 0.718 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 179/199 2.41G 0.01526 0.005671 0.002256 8 416: 100% 341/341 [00:33<00:00, 10.13it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.34it/s] all 261 1002 0.972 0.941 0.974 0.719 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 180/199 2.41G 0.01536 0.005509 0.002171 2 416: 100% 341/341 [00:34<00:00, 10.03it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.34it/s] all 261 1002 0.976 0.945 0.975 0.735 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 181/199 2.41G 0.01544 0.005555 0.002363 2 416: 100% 341/341 [00:33<00:00, 10.13it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.31it/s] all 261 1002 0.962 0.96 0.975 0.725 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 182/199 2.41G 0.01548 0.005328 0.002016 4 416: 100% 341/341 [00:33<00:00, 10.14it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.29it/s] all 261 1002 0.959 0.956 0.975 0.726 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 183/199 2.41G 0.01592 0.005445 0.002331 2 416: 100% 341/341 [00:33<00:00, 10.15it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.33it/s] all 261 1002 0.968 0.943 0.972 0.727 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 184/199 2.41G 0.01561 0.00577 0.00238 1 416: 100% 341/341 [00:33<00:00, 10.14it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.08it/s] all 261 1002 0.973 0.946 0.972 0.732 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 185/199 2.41G 0.01522 0.005324 0.00218 1 416: 100% 341/341 [00:33<00:00, 10.10it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.32it/s] all 261 1002 0.969 0.947 0.975 0.736 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 186/199 2.41G 0.01537 0.005528 0.002248 5 416: 100% 341/341 [00:33<00:00, 10.11it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.42it/s] all 261 1002 0.97 0.94 0.973 0.732 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 187/199 2.41G 0.01573 0.005504 0.00226 4 416: 100% 341/341 [00:33<00:00, 10.11it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.31it/s] all 261 1002 0.979 0.942 0.975 0.732 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 188/199 2.41G 0.01476 0.005216 0.00223 10 416: 100% 341/341 [00:33<00:00, 10.13it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.24it/s] all 261 1002 0.979 0.944 0.975 0.747 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 189/199 2.41G 0.01482 0.005162 0.002267 3 416: 100% 341/341 [00:33<00:00, 10.10it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.32it/s] all 261 1002 0.974 0.947 0.975 0.74 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 190/199 2.41G 0.01526 0.005468 0.002089 8 416: 100% 341/341 [00:33<00:00, 10.13it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.14it/s] all 261 1002 0.973 0.951 0.975 0.744 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 191/199 2.41G 0.01462 0.00536 0.002168 0 416: 100% 341/341 [00:33<00:00, 10.16it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.18it/s] all 261 1002 0.971 0.953 0.975 0.747 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 192/199 2.41G 0.01554 0.005655 0.002369 4 416: 100% 341/341 [00:33<00:00, 10.05it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.37it/s] all 261 1002 0.974 0.949 0.975 0.744 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 193/199 2.41G 0.01447 0.005457 0.002131 5 416: 100% 341/341 [00:33<00:00, 10.19it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.35it/s] all 261 1002 0.973 0.951 0.975 0.741 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 194/199 2.41G 0.01494 0.005216 0.002385 2 416: 100% 341/341 [00:33<00:00, 10.16it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.24it/s] all 261 1002 0.972 0.947 0.975 0.746 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 195/199 2.41G 0.01461 0.005059 0.002371 5 416: 100% 341/341 [00:33<00:00, 10.19it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.35it/s] all 261 1002 0.976 0.945 0.975 0.743 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 196/199 2.41G 0.01471 0.005369 0.002245 9 416: 100% 341/341 [00:33<00:00, 10.16it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.40it/s] all 261 1002 0.968 0.954 0.975 0.744 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 197/199 2.41G 0.01427 0.005418 0.001938 2 416: 100% 341/341 [00:33<00:00, 10.15it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.27it/s] all 261 1002 0.968 0.952 0.975 0.747 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 198/199 2.41G 0.01474 0.005459 0.002285 2 416: 100% 341/341 [00:33<00:00, 10.10it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.26it/s] all 261 1002 0.968 0.952 0.975 0.747 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 199/199 2.41G 0.01412 0.00525 0.002098 2 416: 100% 341/341 [00:33<00:00, 10.06it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:04<00:00, 15.27it/s] all 261 1002 0.968 0.953 0.975 0.757 200 epochs completed in 2.232 hours. Optimizer stripped from runs/train/exp4/weights/last.pt, 173.1MB Optimizer stripped from runs/train/exp4/weights/best.pt, 173.1MB Validating runs/train/exp4/weights/best.pt... Fusing layers... Model summary: 322 layers, 86220517 parameters, 0 gradients, 203.9 GFLOPs Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 12.40it/s] all 261 1002 0.968 0.953 0.975 0.757 car 261 372 0.973 0.958 0.985 0.715 pickup 261 241 0.969 0.979 0.991 0.756 camping 261 129 0.978 0.946 0.973 0.792 truck 261 68 0.968 1 0.994 0.846 other 261 45 1 0.944 0.99 0.766 tractor 261 40 0.968 0.925 0.926 0.689 boat 261 75 0.946 0.933 0.968 0.703 van 261 32 0.94 0.938 0.973 0.787 Results saved to runs/train/exp4
In [5]:
p_yol5x = 0.968
r_yol5x = 0.953
mAP_yolo5x = 0.975
In [17]:
storeResults('YoloV5X',p_yol5x,r_yol5x,mAP_yolo5x)
In [19]:
# dislaying metrics for train data
from IPython.display import Image
from IPython.display import display
x = Image(filename='runs/train/exp4/F1_curve.png')
y = Image(filename='runs/train/exp4/PR_curve.png')
z = Image(filename='runs/train/exp4/confusion_matrix.png')
display(x, y,z)
Yolov 5x6¶
In [20]:
!wandb disabled
!python train.py --img 416 --batch 2 --epochs 200 --data /content/drive/MyDrive/16/yolo/data.yaml --weights yolov5x6.pt --cache --workers 2
/bin/bash: line 1: wandb: command not found train: weights=yolov5x6.pt, cfg=, data=/content/drive/MyDrive/16/yolo/data.yaml, hyp=data/hyps/hyp.scratch-low.yaml, epochs=200, batch_size=2, imgsz=416, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, noplots=False, evolve=None, bucket=, cache=ram, image_weights=False, device=, multi_scale=False, single_cls=False, optimizer=SGD, sync_bn=False, workers=2, project=runs/train, name=exp, exist_ok=False, quad=False, cos_lr=False, label_smoothing=0.0, patience=100, freeze=[0], save_period=-1, seed=0, local_rank=-1, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest github: up to date with https://github.com/ultralytics/yolov5 ✅ YOLOv5 🚀 v7.0-226-gdd9e338 Python-3.10.12 torch-2.0.1+cu118 CUDA:0 (Tesla T4, 15102MiB) hyperparameters: lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=0.05, cls=0.5, cls_pw=1.0, obj=1.0, obj_pw=1.0, iou_t=0.2, anchor_t=4.0, fl_gamma=0.0, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0 Comet: run 'pip install comet_ml' to automatically track and visualize YOLOv5 🚀 runs in Comet TensorBoard: Start with 'tensorboard --logdir runs/train', view at http://localhost:6006/ Downloading https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov5x6.pt to yolov5x6.pt... 100% 270M/270M [00:16<00:00, 17.6MB/s] Overriding model.yaml nc=80 with nc=8 from n params module arguments 0 -1 1 8800 models.common.Conv [3, 80, 6, 2, 2] 1 -1 1 115520 models.common.Conv [80, 160, 3, 2] 2 -1 4 309120 models.common.C3 [160, 160, 4] 3 -1 1 461440 models.common.Conv [160, 320, 3, 2] 4 -1 8 2259200 models.common.C3 [320, 320, 8] 5 -1 1 1844480 models.common.Conv [320, 640, 3, 2] 6 -1 12 13125120 models.common.C3 [640, 640, 12] 7 -1 1 5531520 models.common.Conv [640, 960, 3, 2] 8 -1 4 11070720 models.common.C3 [960, 960, 4] 9 -1 1 11061760 models.common.Conv [960, 1280, 3, 2] 10 -1 4 19676160 models.common.C3 [1280, 1280, 4] 11 -1 1 4099840 models.common.SPPF [1280, 1280, 5] 12 -1 1 1230720 models.common.Conv [1280, 960, 1, 1] 13 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] 14 [-1, 8] 1 0 models.common.Concat [1] 15 -1 4 11992320 models.common.C3 [1920, 960, 4, False] 16 -1 1 615680 models.common.Conv [960, 640, 1, 1] 17 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] 18 [-1, 6] 1 0 models.common.Concat [1] 19 -1 4 5332480 models.common.C3 [1280, 640, 4, False] 20 -1 1 205440 models.common.Conv [640, 320, 1, 1] 21 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] 22 [-1, 4] 1 0 models.common.Concat [1] 23 -1 4 1335040 models.common.C3 [640, 320, 4, False] 24 -1 1 922240 models.common.Conv [320, 320, 3, 2] 25 [-1, 20] 1 0 models.common.Concat [1] 26 -1 4 4922880 models.common.C3 [640, 640, 4, False] 27 -1 1 3687680 models.common.Conv [640, 640, 3, 2] 28 [-1, 16] 1 0 models.common.Concat [1] 29 -1 4 11377920 models.common.C3 [1280, 960, 4, False] 30 -1 1 8296320 models.common.Conv [960, 960, 3, 2] 31 [-1, 12] 1 0 models.common.Concat [1] 32 -1 4 20495360 models.common.C3 [1920, 1280, 4, False] 33 [23, 26, 29, 32] 1 124956 models.yolo.Detect [8, [[19, 27, 44, 40, 38, 94], [96, 68, 86, 152, 180, 137], [140, 301, 303, 264, 238, 542], [436, 615, 739, 380, 925, 792]], [320, 640, 960, 1280]] Model summary: 575 layers, 140102716 parameters, 140102716 gradients, 208.9 GFLOPs Transferred 955/963 items from yolov5x6.pt AMP: checks passed ✅ WARNING ⚠️ --img-size 416 must be multiple of max stride 64, updating to 448 optimizer: SGD(lr=0.01) with parameter groups 159 weight(decay=0.0), 163 weight(decay=0.0005), 163 bias albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8)) train: Scanning /content/drive/MyDrive/16/yolo/train/labels.cache... 691 images, 11 backgrounds, 10 corrupt: 100% 691/691 [00:00<?, ?it/s] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000033.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0004] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000044.png: ignoring corrupt image/label: negative label values [ -0.0036738] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000111.png: ignoring corrupt image/label: negative label values [-5.7568e-05] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000219.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0015] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000281.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0083] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000338.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0045] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000463.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.001] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000484.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0029] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000550.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0095] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000614.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0007] train: Caching images (0.4GB ram): 100% 681/681 [00:01<00:00, 565.73it/s] val: Scanning /content/drive/MyDrive/16/yolo/valid/labels.cache... 265 images, 9 backgrounds, 4 corrupt: 100% 265/265 [00:00<?, ?it/s] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000033.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0004] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000044.png: ignoring corrupt image/label: negative label values [ -0.0036738] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000111.png: ignoring corrupt image/label: negative label values [-5.7568e-05] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000219.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0015] val: Caching images (0.1GB ram): 100% 261/261 [00:00<00:00, 326.47it/s] AutoAnchor: 1.68 anchors/target, 0.958 Best Possible Recall (BPR). Anchors are a poor fit to dataset ⚠️, attempting to improve... AutoAnchor: Running kmeans for 12 anchors on 2194 points... AutoAnchor: Evolving anchors with Genetic Algorithm: fitness = 0.8607: 100% 1000/1000 [00:00<00:00, 1557.74it/s] AutoAnchor: thr=0.25: 1.0000 best possible recall, 10.79 anchors past thr AutoAnchor: n=12, img_size=448, metric_all=0.496/0.861-mean/best, past_thr=0.532-mean: 19,7, 8,18, 21,10, 10,21, 13,17, 17,14, 18,19, 31,12, 13,30, 25,26, 61,14, 22,62 AutoAnchor: Done ✅ (optional: update model *.yaml to use these anchors in the future) Plotting labels to runs/train/exp5/labels.jpg... Image sizes 448 train, 448 val Using 2 dataloader workers Logging results to runs/train/exp5 Starting training for 200 epochs... Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 0/199 3.03G 0.1591 0.0136 0.05937 5 448: 0% 0/341 [00:00<?, ?it/s]WARNING ⚠️ TensorBoard graph visualization failure Sizes of tensors must match except in dimension 1. Expected size 14 but got size 13 for tensor number 1 in the list. 0/199 3.45G 0.1471 0.01709 0.0562 4 448: 100% 341/341 [00:48<00:00, 7.00it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:06<00:00, 9.88it/s] all 261 1002 0.00241 0.0866 0.00298 0.000725 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 1/199 3.45G 0.1228 0.01811 0.04989 9 448: 100% 341/341 [00:44<00:00, 7.73it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:06<00:00, 10.31it/s] all 261 1002 0.268 0.0915 0.0073 0.0018 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 2/199 3.45G 0.1176 0.01726 0.04931 2 448: 100% 341/341 [00:43<00:00, 7.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.03it/s] all 261 1002 0.692 0.115 0.0579 0.017 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 3/199 3.45G 0.1088 0.01766 0.04805 3 448: 100% 341/341 [00:44<00:00, 7.74it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.41it/s] all 261 1002 0.698 0.135 0.109 0.0322 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 4/199 3.45G 0.103 0.01767 0.04813 3 448: 100% 341/341 [00:43<00:00, 7.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.58it/s] all 261 1002 0.606 0.187 0.111 0.0329 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 5/199 3.45G 0.1002 0.01767 0.04754 6 448: 100% 341/341 [00:43<00:00, 7.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.39it/s] all 261 1002 0.656 0.26 0.192 0.0733 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 6/199 3.45G 0.09406 0.01653 0.04567 8 448: 100% 341/341 [00:45<00:00, 7.56it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.20it/s] all 261 1002 0.325 0.316 0.25 0.0963 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 7/199 3.45G 0.09438 0.01733 0.04549 4 448: 100% 341/341 [00:46<00:00, 7.35it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:06<00:00, 10.80it/s] all 261 1002 0.498 0.322 0.252 0.104 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 8/199 3.45G 0.0879 0.01739 0.04323 2 448: 100% 341/341 [00:45<00:00, 7.47it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:06<00:00, 10.94it/s] all 261 1002 0.384 0.34 0.284 0.111 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 9/199 3.45G 0.089 0.01776 0.04291 17 448: 100% 341/341 [00:47<00:00, 7.25it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:06<00:00, 10.58it/s] all 261 1002 0.592 0.311 0.282 0.122 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 10/199 3.45G 0.08618 0.01702 0.04167 6 448: 100% 341/341 [00:45<00:00, 7.51it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.50it/s] all 261 1002 0.413 0.421 0.312 0.146 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 11/199 3.45G 0.08329 0.01719 0.04045 2 448: 100% 341/341 [00:44<00:00, 7.70it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.45it/s] all 261 1002 0.658 0.312 0.339 0.146 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 12/199 3.45G 0.08342 0.01721 0.04049 13 448: 100% 341/341 [00:44<00:00, 7.72it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.32it/s] all 261 1002 0.366 0.411 0.337 0.157 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 13/199 3.45G 0.08055 0.01636 0.04031 2 448: 100% 341/341 [00:44<00:00, 7.72it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.47it/s] all 261 1002 0.421 0.424 0.33 0.153 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 14/199 3.45G 0.08239 0.01721 0.03931 5 448: 100% 341/341 [00:44<00:00, 7.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.36it/s] all 261 1002 0.429 0.412 0.359 0.173 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 15/199 3.45G 0.08104 0.01827 0.03886 4 448: 100% 341/341 [00:44<00:00, 7.74it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.51it/s] all 261 1002 0.447 0.435 0.363 0.163 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 16/199 3.45G 0.07865 0.0168 0.03895 1 448: 100% 341/341 [00:44<00:00, 7.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.54it/s] all 261 1002 0.445 0.451 0.396 0.181 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 17/199 3.45G 0.07826 0.01639 0.0378 0 448: 100% 341/341 [00:44<00:00, 7.68it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.40it/s] all 261 1002 0.515 0.485 0.43 0.19 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 18/199 3.45G 0.07839 0.01706 0.03794 2 448: 100% 341/341 [00:44<00:00, 7.73it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.50it/s] all 261 1002 0.512 0.502 0.443 0.215 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 19/199 3.45G 0.07664 0.0171 0.03738 6 448: 100% 341/341 [00:44<00:00, 7.73it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.57it/s] all 261 1002 0.548 0.424 0.45 0.208 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 20/199 3.45G 0.07856 0.01677 0.03781 4 448: 100% 341/341 [00:44<00:00, 7.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.50it/s] all 261 1002 0.67 0.407 0.473 0.222 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 21/199 3.45G 0.07541 0.01753 0.03608 15 448: 100% 341/341 [00:43<00:00, 7.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.65it/s] all 261 1002 0.57 0.468 0.465 0.223 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 22/199 3.45G 0.07388 0.01572 0.03561 0 448: 100% 341/341 [00:43<00:00, 7.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.61it/s] all 261 1002 0.582 0.498 0.511 0.234 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 23/199 3.45G 0.07438 0.01687 0.03616 1 448: 100% 341/341 [00:43<00:00, 7.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.49it/s] all 261 1002 0.597 0.557 0.531 0.267 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 24/199 3.45G 0.07521 0.01759 0.0361 2 448: 100% 341/341 [00:43<00:00, 7.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.48it/s] all 261 1002 0.567 0.539 0.532 0.256 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 25/199 3.45G 0.07484 0.01704 0.0347 12 448: 100% 341/341 [00:43<00:00, 7.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.68it/s] all 261 1002 0.547 0.532 0.506 0.245 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 26/199 3.45G 0.07473 0.01664 0.03479 9 448: 100% 341/341 [00:44<00:00, 7.73it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.53it/s] all 261 1002 0.627 0.532 0.548 0.263 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 27/199 3.45G 0.07334 0.01636 0.03328 1 448: 100% 341/341 [00:44<00:00, 7.73it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.59it/s] all 261 1002 0.613 0.537 0.558 0.275 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 28/199 3.45G 0.07402 0.01603 0.0344 0 448: 100% 341/341 [00:44<00:00, 7.72it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.56it/s] all 261 1002 0.682 0.454 0.555 0.275 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 29/199 3.45G 0.07185 0.01605 0.03274 0 448: 100% 341/341 [00:43<00:00, 7.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.55it/s] all 261 1002 0.698 0.437 0.544 0.279 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 30/199 3.45G 0.07249 0.0164 0.03338 0 448: 100% 341/341 [00:44<00:00, 7.72it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.46it/s] all 261 1002 0.629 0.567 0.552 0.282 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 31/199 3.45G 0.0725 0.0162 0.03312 6 448: 100% 341/341 [00:44<00:00, 7.73it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.62it/s] all 261 1002 0.737 0.484 0.617 0.316 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 32/199 3.45G 0.07364 0.01697 0.03228 2 448: 100% 341/341 [00:44<00:00, 7.74it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.61it/s] all 261 1002 0.769 0.465 0.602 0.301 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 33/199 3.45G 0.07355 0.0161 0.03261 1 448: 100% 341/341 [00:43<00:00, 7.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.53it/s] all 261 1002 0.58 0.568 0.58 0.28 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 34/199 3.45G 0.07114 0.01582 0.03152 1 448: 100% 341/341 [00:44<00:00, 7.70it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.46it/s] all 261 1002 0.623 0.61 0.606 0.302 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 35/199 3.45G 0.07135 0.01642 0.03066 1 448: 100% 341/341 [00:43<00:00, 7.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.52it/s] all 261 1002 0.646 0.565 0.591 0.307 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 36/199 3.45G 0.07115 0.01645 0.03106 13 448: 100% 341/341 [00:44<00:00, 7.71it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.44it/s] all 261 1002 0.676 0.562 0.614 0.331 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 37/199 3.45G 0.06787 0.01529 0.02947 0 448: 100% 341/341 [00:44<00:00, 7.74it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.66it/s] all 261 1002 0.635 0.623 0.655 0.335 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 38/199 3.45G 0.07043 0.01604 0.03081 6 448: 100% 341/341 [00:44<00:00, 7.71it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.53it/s] all 261 1002 0.678 0.61 0.639 0.327 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 39/199 3.45G 0.06869 0.01553 0.02973 9 448: 100% 341/341 [00:44<00:00, 7.73it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.50it/s] all 261 1002 0.809 0.486 0.649 0.331 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 40/199 3.45G 0.06889 0.01609 0.0286 6 448: 100% 341/341 [00:44<00:00, 7.73it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.61it/s] all 261 1002 0.715 0.56 0.643 0.333 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 41/199 3.45G 0.0697 0.0165 0.03004 3 448: 100% 341/341 [00:43<00:00, 7.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.72it/s] all 261 1002 0.649 0.607 0.678 0.334 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 42/199 3.45G 0.06981 0.01578 0.02851 0 448: 100% 341/341 [00:44<00:00, 7.70it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.53it/s] all 261 1002 0.696 0.622 0.701 0.382 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 43/199 3.45G 0.06978 0.01626 0.02835 7 448: 100% 341/341 [00:44<00:00, 7.72it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.58it/s] all 261 1002 0.752 0.608 0.705 0.377 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 44/199 3.45G 0.06815 0.01479 0.02715 4 448: 100% 341/341 [00:44<00:00, 7.71it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.62it/s] all 261 1002 0.771 0.614 0.711 0.361 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 45/199 3.45G 0.06896 0.01604 0.02824 2 448: 100% 341/341 [00:43<00:00, 7.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.72it/s] all 261 1002 0.682 0.635 0.701 0.365 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 46/199 3.45G 0.06764 0.01459 0.02759 7 448: 100% 341/341 [00:43<00:00, 7.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.64it/s] all 261 1002 0.712 0.611 0.7 0.362 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 47/199 3.45G 0.06717 0.01485 0.02726 2 448: 100% 341/341 [00:44<00:00, 7.73it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.51it/s] all 261 1002 0.786 0.58 0.703 0.365 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 48/199 3.45G 0.06541 0.01474 0.02603 0 448: 100% 341/341 [00:44<00:00, 7.74it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.49it/s] all 261 1002 0.767 0.607 0.745 0.398 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 49/199 3.45G 0.0654 0.01527 0.02669 3 448: 100% 341/341 [00:43<00:00, 7.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.66it/s] all 261 1002 0.801 0.631 0.77 0.418 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 50/199 3.45G 0.06769 0.01535 0.02658 6 448: 100% 341/341 [00:43<00:00, 7.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.56it/s] all 261 1002 0.803 0.605 0.745 0.415 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 51/199 3.45G 0.06636 0.01536 0.02541 3 448: 100% 341/341 [00:44<00:00, 7.70it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.65it/s] all 261 1002 0.821 0.601 0.749 0.42 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 52/199 3.45G 0.06462 0.01463 0.02573 13 448: 100% 341/341 [00:44<00:00, 7.74it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.57it/s] all 261 1002 0.792 0.63 0.754 0.409 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 53/199 3.45G 0.06504 0.01497 0.024 6 448: 100% 341/341 [00:44<00:00, 7.74it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.51it/s] all 261 1002 0.804 0.624 0.767 0.433 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 54/199 3.45G 0.06466 0.01424 0.02375 2 448: 100% 341/341 [00:44<00:00, 7.71it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.64it/s] all 261 1002 0.807 0.63 0.773 0.427 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 55/199 3.45G 0.06378 0.01495 0.02363 0 448: 100% 341/341 [00:43<00:00, 7.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.77it/s] all 261 1002 0.822 0.632 0.768 0.424 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 56/199 3.45G 0.06533 0.01553 0.02475 5 448: 100% 341/341 [00:43<00:00, 7.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.79it/s] all 261 1002 0.82 0.614 0.771 0.413 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 57/199 3.45G 0.06439 0.01552 0.0227 2 448: 100% 341/341 [00:43<00:00, 7.80it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.75it/s] all 261 1002 0.771 0.628 0.731 0.402 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 58/199 3.45G 0.06439 0.01531 0.02303 1 448: 100% 341/341 [00:43<00:00, 7.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.69it/s] all 261 1002 0.845 0.627 0.789 0.444 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 59/199 3.45G 0.0643 0.01518 0.02372 1 448: 100% 341/341 [00:44<00:00, 7.73it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.71it/s] all 261 1002 0.866 0.655 0.805 0.436 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 60/199 3.45G 0.06544 0.01473 0.02325 5 448: 100% 341/341 [00:43<00:00, 7.80it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.66it/s] all 261 1002 0.804 0.665 0.779 0.434 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 61/199 3.45G 0.06453 0.01517 0.02332 3 448: 100% 341/341 [00:43<00:00, 7.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.67it/s] all 261 1002 0.821 0.676 0.803 0.447 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 62/199 3.45G 0.06194 0.01462 0.02133 0 448: 100% 341/341 [00:43<00:00, 7.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.74it/s] all 261 1002 0.822 0.679 0.793 0.41 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 63/199 3.45G 0.06202 0.01423 0.02251 2 448: 100% 341/341 [00:43<00:00, 7.80it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.72it/s] all 261 1002 0.909 0.629 0.813 0.445 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 64/199 3.45G 0.06399 0.01474 0.0217 3 448: 100% 341/341 [00:44<00:00, 7.74it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.64it/s] all 261 1002 0.849 0.665 0.8 0.442 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 65/199 3.45G 0.06389 0.01454 0.02209 6 448: 100% 341/341 [00:43<00:00, 7.79it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.66it/s] all 261 1002 0.79 0.707 0.819 0.456 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 66/199 3.45G 0.06332 0.01505 0.02144 10 448: 100% 341/341 [00:43<00:00, 7.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.77it/s] all 261 1002 0.876 0.65 0.795 0.45 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 67/199 3.45G 0.06397 0.01524 0.02116 2 448: 100% 341/341 [00:43<00:00, 7.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.72it/s] all 261 1002 0.848 0.679 0.803 0.453 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 68/199 3.45G 0.06314 0.01371 0.02062 1 448: 100% 341/341 [00:43<00:00, 7.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.80it/s] all 261 1002 0.87 0.66 0.817 0.452 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 69/199 3.45G 0.06273 0.01401 0.02087 0 448: 100% 341/341 [00:43<00:00, 7.79it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.69it/s] all 261 1002 0.828 0.656 0.776 0.432 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 70/199 3.45G 0.06268 0.01489 0.02068 2 448: 100% 341/341 [00:43<00:00, 7.79it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.71it/s] all 261 1002 0.826 0.731 0.838 0.462 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 71/199 3.45G 0.06314 0.01381 0.02104 3 448: 100% 341/341 [00:43<00:00, 7.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.67it/s] all 261 1002 0.843 0.72 0.841 0.472 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 72/199 3.45G 0.06347 0.0157 0.02046 5 448: 100% 341/341 [00:43<00:00, 7.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.72it/s] all 261 1002 0.812 0.708 0.811 0.458 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 73/199 3.45G 0.06102 0.01363 0.02129 2 448: 100% 341/341 [00:43<00:00, 7.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.67it/s] all 261 1002 0.873 0.679 0.838 0.482 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 74/199 3.45G 0.06187 0.01421 0.01921 6 448: 100% 341/341 [00:44<00:00, 7.70it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.69it/s] all 261 1002 0.885 0.715 0.842 0.475 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 75/199 3.45G 0.06194 0.01447 0.01954 2 448: 100% 341/341 [00:43<00:00, 7.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.61it/s] all 261 1002 0.83 0.752 0.859 0.485 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 76/199 3.46G 0.06247 0.01476 0.01927 2 448: 100% 341/341 [00:43<00:00, 7.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.71it/s] all 261 1002 0.765 0.758 0.844 0.498 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 77/199 3.46G 0.06126 0.01352 0.01955 1 448: 100% 341/341 [00:43<00:00, 7.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.66it/s] all 261 1002 0.855 0.717 0.826 0.466 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 78/199 3.46G 0.06074 0.01461 0.01903 8 448: 100% 341/341 [00:43<00:00, 7.82it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.72it/s] all 261 1002 0.89 0.738 0.857 0.47 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 79/199 3.46G 0.05956 0.01363 0.01793 2 448: 100% 341/341 [00:43<00:00, 7.80it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.74it/s] all 261 1002 0.773 0.751 0.829 0.485 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 80/199 3.46G 0.06003 0.01413 0.01805 0 448: 100% 341/341 [00:43<00:00, 7.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.72it/s] all 261 1002 0.897 0.718 0.856 0.495 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 81/199 3.46G 0.0619 0.01407 0.01761 4 448: 100% 341/341 [00:43<00:00, 7.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.73it/s] all 261 1002 0.845 0.797 0.867 0.519 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 82/199 3.46G 0.0605 0.01379 0.01753 5 448: 100% 341/341 [00:43<00:00, 7.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.68it/s] all 261 1002 0.823 0.78 0.862 0.509 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 83/199 3.46G 0.06145 0.01369 0.01735 5 448: 100% 341/341 [00:43<00:00, 7.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.69it/s] all 261 1002 0.792 0.791 0.863 0.51 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 84/199 3.46G 0.06157 0.01415 0.01777 1 448: 100% 341/341 [00:43<00:00, 7.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.64it/s] all 261 1002 0.814 0.805 0.883 0.506 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 85/199 3.46G 0.06175 0.01455 0.01685 3 448: 100% 341/341 [00:43<00:00, 7.79it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.71it/s] all 261 1002 0.887 0.782 0.9 0.549 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 86/199 3.46G 0.0611 0.01414 0.01707 6 448: 100% 341/341 [00:44<00:00, 7.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.67it/s] all 261 1002 0.843 0.806 0.898 0.533 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 87/199 3.46G 0.05661 0.013 0.01642 3 448: 100% 341/341 [00:43<00:00, 7.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.72it/s] all 261 1002 0.865 0.827 0.887 0.518 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 88/199 3.46G 0.0606 0.01421 0.01775 8 448: 100% 341/341 [00:44<00:00, 7.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.72it/s] all 261 1002 0.851 0.794 0.889 0.524 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 89/199 3.46G 0.06147 0.01326 0.01665 10 448: 100% 341/341 [00:44<00:00, 7.74it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.70it/s] all 261 1002 0.872 0.797 0.901 0.553 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 90/199 3.46G 0.05927 0.01383 0.01615 3 448: 100% 341/341 [00:43<00:00, 7.79it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.66it/s] all 261 1002 0.868 0.766 0.879 0.513 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 91/199 3.46G 0.06008 0.01341 0.01646 1 448: 100% 341/341 [00:43<00:00, 7.82it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.61it/s] all 261 1002 0.84 0.801 0.871 0.515 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 92/199 3.46G 0.05865 0.01331 0.01568 5 448: 100% 341/341 [00:43<00:00, 7.80it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.65it/s] all 261 1002 0.878 0.811 0.884 0.518 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 93/199 3.46G 0.05888 0.01363 0.01552 0 448: 100% 341/341 [00:43<00:00, 7.79it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.67it/s] all 261 1002 0.895 0.8 0.879 0.515 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 94/199 3.46G 0.05983 0.01354 0.01518 13 448: 100% 341/341 [00:43<00:00, 7.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.70it/s] all 261 1002 0.894 0.831 0.907 0.557 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 95/199 3.46G 0.05682 0.01336 0.015 2 448: 100% 341/341 [00:43<00:00, 7.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.72it/s] all 261 1002 0.91 0.856 0.92 0.55 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 96/199 3.46G 0.05883 0.01288 0.01447 5 448: 100% 341/341 [00:43<00:00, 7.81it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.63it/s] all 261 1002 0.925 0.849 0.911 0.542 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 97/199 3.46G 0.05889 0.01286 0.01377 2 448: 100% 341/341 [00:43<00:00, 7.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.69it/s] all 261 1002 0.937 0.839 0.911 0.542 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 98/199 3.46G 0.05793 0.01366 0.01586 1 448: 100% 341/341 [00:43<00:00, 7.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.65it/s] all 261 1002 0.936 0.856 0.916 0.55 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 99/199 3.46G 0.0561 0.01286 0.01504 3 448: 100% 341/341 [00:43<00:00, 7.82it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.77it/s] all 261 1002 0.884 0.853 0.906 0.534 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 100/199 3.46G 0.05708 0.01218 0.01406 3 448: 100% 341/341 [00:43<00:00, 7.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.63it/s] all 261 1002 0.901 0.836 0.914 0.537 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 101/199 3.46G 0.05711 0.0135 0.01468 11 448: 100% 341/341 [00:43<00:00, 7.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.76it/s] all 261 1002 0.888 0.826 0.912 0.558 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 102/199 3.46G 0.05619 0.01302 0.01443 11 448: 100% 341/341 [00:43<00:00, 7.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.73it/s] all 261 1002 0.888 0.838 0.905 0.568 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 103/199 3.46G 0.05673 0.01322 0.01381 2 448: 100% 341/341 [00:43<00:00, 7.80it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.63it/s] all 261 1002 0.936 0.842 0.916 0.562 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 104/199 3.46G 0.05573 0.01228 0.01358 9 448: 100% 341/341 [00:43<00:00, 7.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.53it/s] all 261 1002 0.916 0.855 0.923 0.551 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 105/199 3.46G 0.05887 0.01439 0.01418 14 448: 100% 341/341 [00:44<00:00, 7.73it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.71it/s] all 261 1002 0.902 0.831 0.901 0.548 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 106/199 3.46G 0.0564 0.01299 0.01377 7 448: 100% 341/341 [00:44<00:00, 7.67it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.62it/s] all 261 1002 0.946 0.861 0.928 0.573 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 107/199 3.46G 0.0564 0.01246 0.01403 3 448: 100% 341/341 [00:44<00:00, 7.72it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.64it/s] all 261 1002 0.909 0.828 0.906 0.558 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 108/199 3.46G 0.05615 0.01288 0.01342 8 448: 100% 341/341 [00:44<00:00, 7.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.52it/s] all 261 1002 0.917 0.82 0.91 0.579 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 109/199 3.46G 0.05582 0.01286 0.01266 7 448: 100% 341/341 [00:44<00:00, 7.72it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.65it/s] all 261 1002 0.924 0.847 0.912 0.568 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 110/199 3.46G 0.05574 0.01234 0.01288 0 448: 100% 341/341 [00:43<00:00, 7.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.66it/s] all 261 1002 0.914 0.849 0.913 0.556 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 111/199 3.46G 0.05501 0.01256 0.01313 4 448: 100% 341/341 [00:44<00:00, 7.74it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.63it/s] all 261 1002 0.942 0.863 0.932 0.587 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 112/199 3.46G 0.05354 0.01222 0.01297 0 448: 100% 341/341 [00:43<00:00, 7.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.70it/s] all 261 1002 0.939 0.85 0.925 0.569 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 113/199 3.46G 0.05589 0.01265 0.01307 1 448: 100% 341/341 [00:43<00:00, 7.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.67it/s] all 261 1002 0.9 0.837 0.903 0.564 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 114/199 3.46G 0.05668 0.01346 0.01279 0 448: 100% 341/341 [00:43<00:00, 7.79it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.71it/s] all 261 1002 0.923 0.879 0.933 0.563 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 115/199 3.46G 0.05594 0.01257 0.01334 1 448: 100% 341/341 [00:43<00:00, 7.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.65it/s] all 261 1002 0.936 0.879 0.937 0.602 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 116/199 3.46G 0.05536 0.01291 0.01336 10 448: 100% 341/341 [00:43<00:00, 7.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.72it/s] all 261 1002 0.914 0.871 0.929 0.588 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 117/199 3.46G 0.05708 0.01274 0.01357 1 448: 100% 341/341 [00:43<00:00, 7.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.70it/s] all 261 1002 0.932 0.897 0.939 0.589 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 118/199 3.46G 0.05493 0.01245 0.01289 6 448: 100% 341/341 [00:43<00:00, 7.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.70it/s] all 261 1002 0.93 0.873 0.931 0.572 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 119/199 3.46G 0.05394 0.01252 0.0124 1 448: 100% 341/341 [00:44<00:00, 7.72it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.70it/s] all 261 1002 0.932 0.879 0.935 0.587 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 120/199 3.46G 0.05565 0.01275 0.01257 2 448: 100% 341/341 [00:44<00:00, 7.72it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.64it/s] all 261 1002 0.937 0.875 0.937 0.595 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 121/199 3.46G 0.05596 0.01334 0.01264 6 448: 100% 341/341 [00:44<00:00, 7.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.65it/s] all 261 1002 0.94 0.892 0.944 0.591 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 122/199 3.46G 0.05417 0.01246 0.01255 2 448: 100% 341/341 [00:44<00:00, 7.71it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.67it/s] all 261 1002 0.925 0.903 0.946 0.592 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 123/199 3.46G 0.05372 0.01197 0.01204 3 448: 100% 341/341 [00:44<00:00, 7.71it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.59it/s] all 261 1002 0.944 0.875 0.944 0.601 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 124/199 3.46G 0.05479 0.01295 0.01182 5 448: 100% 341/341 [00:44<00:00, 7.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.59it/s] all 261 1002 0.935 0.881 0.945 0.608 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 125/199 3.46G 0.05266 0.01182 0.01138 4 448: 100% 341/341 [00:44<00:00, 7.72it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.64it/s] all 261 1002 0.958 0.882 0.947 0.58 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 126/199 3.46G 0.0537 0.01201 0.0112 2 448: 100% 341/341 [00:44<00:00, 7.72it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.63it/s] all 261 1002 0.939 0.914 0.948 0.605 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 127/199 3.46G 0.05238 0.01211 0.0108 4 448: 100% 341/341 [00:43<00:00, 7.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.64it/s] all 261 1002 0.938 0.871 0.93 0.575 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 128/199 3.46G 0.05224 0.01236 0.01084 4 448: 100% 341/341 [00:43<00:00, 7.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.61it/s] all 261 1002 0.939 0.892 0.936 0.615 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 129/199 3.46G 0.0536 0.01261 0.01177 3 448: 100% 341/341 [00:43<00:00, 7.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.75it/s] all 261 1002 0.952 0.908 0.95 0.605 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 130/199 3.46G 0.05409 0.01255 0.01152 4 448: 100% 341/341 [00:43<00:00, 7.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.75it/s] all 261 1002 0.948 0.899 0.945 0.593 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 131/199 3.46G 0.05262 0.01213 0.01152 8 448: 100% 341/341 [00:43<00:00, 7.79it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.83it/s] all 261 1002 0.952 0.895 0.95 0.626 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 132/199 3.46G 0.0522 0.01175 0.011 2 448: 100% 341/341 [00:43<00:00, 7.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.58it/s] all 261 1002 0.959 0.912 0.957 0.629 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 133/199 3.46G 0.05295 0.01191 0.01151 12 448: 100% 341/341 [00:44<00:00, 7.68it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.65it/s] all 261 1002 0.938 0.901 0.943 0.598 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 134/199 3.46G 0.05262 0.01251 0.01083 1 448: 100% 341/341 [00:44<00:00, 7.73it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.69it/s] all 261 1002 0.974 0.911 0.956 0.628 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 135/199 3.46G 0.05326 0.01225 0.01058 3 448: 100% 341/341 [00:43<00:00, 7.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.74it/s] all 261 1002 0.969 0.923 0.959 0.63 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 136/199 3.46G 0.05127 0.01142 0.01021 5 448: 100% 341/341 [00:44<00:00, 7.73it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.67it/s] all 261 1002 0.963 0.907 0.958 0.639 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 137/199 3.46G 0.0532 0.01203 0.01135 1 448: 100% 341/341 [00:43<00:00, 7.79it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.77it/s] all 261 1002 0.951 0.916 0.955 0.619 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 138/199 3.46G 0.05174 0.01217 0.01088 0 448: 100% 341/341 [00:43<00:00, 7.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.69it/s] all 261 1002 0.944 0.924 0.955 0.633 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 139/199 3.46G 0.05188 0.01128 0.01052 2 448: 100% 341/341 [00:44<00:00, 7.73it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.64it/s] all 261 1002 0.962 0.927 0.956 0.616 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 140/199 3.46G 0.05118 0.01153 0.01194 4 448: 100% 341/341 [00:43<00:00, 7.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.64it/s] all 261 1002 0.959 0.927 0.956 0.614 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 141/199 3.46G 0.05215 0.01166 0.01073 14 448: 100% 341/341 [00:43<00:00, 7.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.61it/s] all 261 1002 0.969 0.907 0.96 0.644 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 142/199 3.46G 0.05008 0.01125 0.01052 0 448: 100% 341/341 [00:43<00:00, 7.80it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.75it/s] all 261 1002 0.96 0.922 0.956 0.629 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 143/199 3.46G 0.05336 0.01224 0.01125 1 448: 100% 341/341 [00:44<00:00, 7.69it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.52it/s] all 261 1002 0.968 0.912 0.956 0.626 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 144/199 3.46G 0.05144 0.01169 0.01049 1 448: 100% 341/341 [00:44<00:00, 7.69it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.67it/s] all 261 1002 0.974 0.915 0.959 0.645 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 145/199 3.46G 0.05093 0.01164 0.0105 3 448: 100% 341/341 [00:44<00:00, 7.73it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.67it/s] all 261 1002 0.962 0.934 0.961 0.654 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 146/199 3.46G 0.05082 0.01189 0.01002 2 448: 100% 341/341 [00:44<00:00, 7.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.75it/s] all 261 1002 0.966 0.93 0.962 0.665 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 147/199 3.46G 0.0507 0.01157 0.009728 1 448: 100% 341/341 [00:44<00:00, 7.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.69it/s] all 261 1002 0.973 0.92 0.963 0.649 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 148/199 3.46G 0.05174 0.01158 0.009413 1 448: 100% 341/341 [00:44<00:00, 7.72it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.60it/s] all 261 1002 0.966 0.935 0.962 0.648 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 149/199 3.46G 0.05093 0.01162 0.009732 2 448: 100% 341/341 [00:44<00:00, 7.72it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.69it/s] all 261 1002 0.963 0.936 0.965 0.66 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 150/199 3.46G 0.04919 0.01109 0.009231 5 448: 100% 341/341 [00:44<00:00, 7.71it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.60it/s] all 261 1002 0.97 0.942 0.966 0.666 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 151/199 3.46G 0.05062 0.01121 0.009043 0 448: 100% 341/341 [00:44<00:00, 7.70it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.66it/s] all 261 1002 0.979 0.937 0.969 0.673 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 152/199 3.46G 0.04826 0.0111 0.009766 12 448: 100% 341/341 [00:44<00:00, 7.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.52it/s] all 261 1002 0.973 0.932 0.967 0.672 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 153/199 3.46G 0.04995 0.01098 0.00965 1 448: 100% 341/341 [00:44<00:00, 7.70it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.64it/s] all 261 1002 0.966 0.929 0.965 0.666 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 154/199 3.46G 0.04859 0.01111 0.009483 15 448: 100% 341/341 [00:44<00:00, 7.73it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.72it/s] all 261 1002 0.964 0.95 0.965 0.661 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 155/199 3.46G 0.04872 0.01083 0.008598 2 448: 100% 341/341 [00:43<00:00, 7.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.66it/s] all 261 1002 0.963 0.943 0.965 0.646 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 156/199 3.46G 0.04991 0.0116 0.009238 3 448: 100% 341/341 [00:43<00:00, 7.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.59it/s] all 261 1002 0.974 0.938 0.967 0.667 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 157/199 3.46G 0.05025 0.01137 0.009916 7 448: 100% 341/341 [00:43<00:00, 7.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.50it/s] all 261 1002 0.976 0.939 0.968 0.661 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 158/199 3.46G 0.04951 0.01111 0.00886 1 448: 100% 341/341 [00:44<00:00, 7.74it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.55it/s] all 261 1002 0.98 0.954 0.971 0.676 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 159/199 3.46G 0.04885 0.01092 0.008977 14 448: 100% 341/341 [00:44<00:00, 7.73it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.77it/s] all 261 1002 0.968 0.948 0.968 0.661 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 160/199 3.46G 0.05035 0.01158 0.009173 1 448: 100% 341/341 [00:44<00:00, 7.72it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.66it/s] all 261 1002 0.97 0.938 0.965 0.671 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 161/199 3.46G 0.048 0.01159 0.00888 15 448: 100% 341/341 [00:44<00:00, 7.69it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.68it/s] all 261 1002 0.975 0.947 0.968 0.664 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 162/199 3.46G 0.05054 0.01213 0.009903 6 448: 100% 341/341 [00:44<00:00, 7.70it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.61it/s] all 261 1002 0.965 0.948 0.971 0.665 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 163/199 3.46G 0.04873 0.01069 0.009076 5 448: 100% 341/341 [00:44<00:00, 7.72it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.61it/s] all 261 1002 0.971 0.941 0.966 0.669 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 164/199 3.46G 0.04913 0.01106 0.008686 2 448: 100% 341/341 [00:44<00:00, 7.74it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.60it/s] all 261 1002 0.969 0.945 0.972 0.662 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 165/199 3.46G 0.04772 0.01118 0.008743 2 448: 100% 341/341 [00:44<00:00, 7.71it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.59it/s] all 261 1002 0.968 0.95 0.969 0.681 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 166/199 3.46G 0.04879 0.01147 0.00899 1 448: 100% 341/341 [00:44<00:00, 7.74it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.65it/s] all 261 1002 0.982 0.95 0.97 0.684 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 167/199 3.46G 0.04813 0.01105 0.008668 17 448: 100% 341/341 [00:44<00:00, 7.73it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.62it/s] all 261 1002 0.981 0.95 0.97 0.681 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 168/199 3.46G 0.04764 0.01096 0.009011 0 448: 100% 341/341 [00:43<00:00, 7.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.63it/s] all 261 1002 0.967 0.95 0.97 0.673 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 169/199 3.46G 0.04841 0.01155 0.008862 11 448: 100% 341/341 [00:44<00:00, 7.74it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.60it/s] all 261 1002 0.974 0.954 0.971 0.681 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 170/199 3.46G 0.04714 0.01104 0.008611 6 448: 100% 341/341 [00:44<00:00, 7.72it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.57it/s] all 261 1002 0.978 0.951 0.976 0.684 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 171/199 3.46G 0.04713 0.01105 0.008698 5 448: 100% 341/341 [00:44<00:00, 7.68it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.66it/s] all 261 1002 0.965 0.948 0.973 0.691 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 172/199 3.46G 0.04744 0.0108 0.008487 2 448: 100% 341/341 [00:44<00:00, 7.74it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.62it/s] all 261 1002 0.967 0.951 0.973 0.697 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 173/199 3.46G 0.04759 0.01051 0.008668 2 448: 100% 341/341 [00:43<00:00, 7.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.70it/s] all 261 1002 0.979 0.951 0.974 0.691 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 174/199 3.46G 0.04746 0.01078 0.008746 5 448: 100% 341/341 [00:43<00:00, 7.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.72it/s] all 261 1002 0.98 0.951 0.97 0.687 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 175/199 3.46G 0.04607 0.01046 0.008045 2 448: 100% 341/341 [00:43<00:00, 7.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.71it/s] all 261 1002 0.982 0.95 0.973 0.694 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 176/199 3.46G 0.04671 0.01058 0.008051 2 448: 100% 341/341 [00:43<00:00, 7.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.63it/s] all 261 1002 0.983 0.945 0.972 0.691 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 177/199 3.46G 0.04615 0.01062 0.00871 2 448: 100% 341/341 [00:43<00:00, 7.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.60it/s] all 261 1002 0.982 0.959 0.97 0.707 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 178/199 3.46G 0.04652 0.01084 0.008255 3 448: 100% 341/341 [00:44<00:00, 7.74it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.64it/s] all 261 1002 0.98 0.951 0.969 0.691 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 179/199 3.46G 0.04545 0.01068 0.007963 8 448: 100% 341/341 [00:44<00:00, 7.66it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.68it/s] all 261 1002 0.985 0.952 0.971 0.705 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 180/199 3.46G 0.04614 0.01031 0.007585 2 448: 100% 341/341 [00:44<00:00, 7.73it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.62it/s] all 261 1002 0.975 0.946 0.971 0.692 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 181/199 3.46G 0.04569 0.01077 0.007889 2 448: 100% 341/341 [00:44<00:00, 7.72it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.64it/s] all 261 1002 0.97 0.949 0.971 0.695 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 182/199 3.46G 0.04509 0.01 0.007882 4 448: 100% 341/341 [00:44<00:00, 7.69it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.66it/s] all 261 1002 0.973 0.953 0.971 0.707 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 183/199 3.46G 0.04624 0.01051 0.008321 2 448: 100% 341/341 [00:44<00:00, 7.71it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.64it/s] all 261 1002 0.978 0.952 0.97 0.703 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 184/199 3.46G 0.04736 0.01129 0.008633 1 448: 100% 341/341 [00:44<00:00, 7.73it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.64it/s] all 261 1002 0.98 0.954 0.971 0.701 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 185/199 3.46G 0.0455 0.01031 0.007934 1 448: 100% 341/341 [00:44<00:00, 7.71it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.62it/s] all 261 1002 0.98 0.944 0.972 0.701 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 186/199 3.46G 0.04501 0.01065 0.007809 5 448: 100% 341/341 [00:44<00:00, 7.72it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.62it/s] all 261 1002 0.977 0.949 0.972 0.712 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 187/199 3.46G 0.04529 0.01055 0.007721 4 448: 100% 341/341 [00:44<00:00, 7.74it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.63it/s] all 261 1002 0.982 0.938 0.97 0.706 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 188/199 3.46G 0.0444 0.01013 0.007331 10 448: 100% 341/341 [00:44<00:00, 7.72it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.62it/s] all 261 1002 0.984 0.936 0.97 0.709 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 189/199 3.46G 0.04456 0.009929 0.00798 3 448: 100% 341/341 [00:44<00:00, 7.71it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.49it/s] all 261 1002 0.971 0.957 0.972 0.711 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 190/199 3.46G 0.04511 0.0105 0.007651 8 448: 100% 341/341 [00:44<00:00, 7.68it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.55it/s] all 261 1002 0.98 0.948 0.97 0.714 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 191/199 3.46G 0.0431 0.0103 0.007068 0 448: 100% 341/341 [00:44<00:00, 7.71it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.61it/s] all 261 1002 0.978 0.956 0.971 0.71 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 192/199 3.46G 0.04613 0.01065 0.008056 4 448: 100% 341/341 [00:44<00:00, 7.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.61it/s] all 261 1002 0.982 0.947 0.972 0.713 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 193/199 3.46G 0.04472 0.01073 0.007885 5 448: 100% 341/341 [00:44<00:00, 7.72it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.54it/s] all 261 1002 0.982 0.947 0.972 0.719 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 194/199 3.46G 0.04479 0.01014 0.007636 2 448: 100% 341/341 [00:44<00:00, 7.73it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.64it/s] all 261 1002 0.984 0.947 0.972 0.715 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 195/199 3.46G 0.04338 0.0097 0.007914 5 448: 100% 341/341 [00:44<00:00, 7.72it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.65it/s] all 261 1002 0.986 0.948 0.971 0.714 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 196/199 3.46G 0.04377 0.01012 0.007691 9 448: 100% 341/341 [00:44<00:00, 7.70it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.62it/s] all 261 1002 0.985 0.95 0.972 0.716 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 197/199 3.46G 0.044 0.01052 0.008005 2 448: 100% 341/341 [00:44<00:00, 7.69it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.58it/s] all 261 1002 0.986 0.949 0.972 0.717 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 198/199 3.46G 0.04405 0.01009 0.007236 2 448: 100% 341/341 [00:44<00:00, 7.71it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.56it/s] all 261 1002 0.986 0.949 0.973 0.713 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 199/199 3.46G 0.0444 0.01028 0.00752 2 448: 100% 341/341 [00:44<00:00, 7.73it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:05<00:00, 11.49it/s] all 261 1002 0.985 0.95 0.974 0.724 200 epochs completed in 2.995 hours. Optimizer stripped from runs/train/exp5/weights/last.pt, 281.0MB Optimizer stripped from runs/train/exp5/weights/best.pt, 281.0MB Validating runs/train/exp5/weights/best.pt... Fusing layers... Model summary: 416 layers, 140038156 parameters, 0 gradients, 208.0 GFLOPs Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:06<00:00, 9.68it/s] all 261 1002 0.985 0.95 0.974 0.724 car 261 372 0.986 0.962 0.99 0.705 pickup 261 241 0.978 0.979 0.987 0.746 camping 261 129 0.984 0.935 0.968 0.75 truck 261 68 0.994 0.985 0.995 0.788 other 261 45 0.987 0.956 0.975 0.692 tractor 261 40 1 0.912 0.926 0.672 boat 261 75 0.972 0.937 0.955 0.673 van 261 32 0.98 0.938 0.993 0.765 Results saved to runs/train/exp5
In [6]:
p_yol5xs = 0.985
r_yol5xs = 0.95
mAP_yolo5xs = 0.99
In [18]:
storeResults('YoloVx6',p_yol5xs,r_yol5xs,mAP_yolo5xs)
In [21]:
# dislaying metrics for train data
from IPython.display import Image
from IPython.display import display
x = Image(filename='runs/train/exp5/F1_curve.png')
y = Image(filename='runs/train/exp5/PR_curve.png')
z = Image(filename='runs/train/exp5/confusion_matrix.png')
display(x, y,z)
In [22]:
!zip -r /content/drive/MyDrive/16/file.zip /content/yolov5
adding: content/yolov5/ (stored 0%) adding: content/yolov5/runs/ (stored 0%) adding: content/yolov5/runs/train/ (stored 0%) adding: content/yolov5/runs/train/exp4/ (stored 0%) adding: content/yolov5/runs/train/exp4/val_batch2_pred.jpg (deflated 8%) adding: content/yolov5/runs/train/exp4/F1_curve.png (deflated 8%) adding: content/yolov5/runs/train/exp4/train_batch2.jpg (deflated 8%) adding: content/yolov5/runs/train/exp4/labels.jpg (deflated 26%) adding: content/yolov5/runs/train/exp4/hyp.yaml (deflated 45%) adding: content/yolov5/runs/train/exp4/weights/ (stored 0%) adding: content/yolov5/runs/train/exp4/weights/last.pt (deflated 8%) adding: content/yolov5/runs/train/exp4/weights/best.pt (deflated 8%) adding: content/yolov5/runs/train/exp4/events.out.tfevents.1697115956.10a4459761bc.66911.0 (deflated 43%) adding: content/yolov5/runs/train/exp4/val_batch1_labels.jpg (deflated 8%) adding: content/yolov5/runs/train/exp4/PR_curve.png (deflated 16%) adding: content/yolov5/runs/train/exp4/train_batch0.jpg (deflated 9%) adding: content/yolov5/runs/train/exp4/val_batch2_labels.jpg (deflated 8%) adding: content/yolov5/runs/train/exp4/val_batch0_labels.jpg (deflated 8%) adding: content/yolov5/runs/train/exp4/results.csv (deflated 84%) adding: content/yolov5/runs/train/exp4/R_curve.png (deflated 10%) adding: content/yolov5/runs/train/exp4/val_batch1_pred.jpg (deflated 7%) adding: content/yolov5/runs/train/exp4/labels_correlogram.jpg (deflated 40%) adding: content/yolov5/runs/train/exp4/results.png (deflated 8%) adding: content/yolov5/runs/train/exp4/val_batch0_pred.jpg (deflated 8%) adding: content/yolov5/runs/train/exp4/confusion_matrix.png (deflated 21%) adding: content/yolov5/runs/train/exp4/P_curve.png (deflated 10%) adding: content/yolov5/runs/train/exp4/opt.yaml (deflated 48%) adding: content/yolov5/runs/train/exp4/train_batch1.jpg (deflated 8%) adding: content/yolov5/runs/train/exp5/ (stored 0%) adding: content/yolov5/runs/train/exp5/val_batch2_pred.jpg (deflated 9%) adding: content/yolov5/runs/train/exp5/F1_curve.png (deflated 7%) adding: content/yolov5/runs/train/exp5/train_batch2.jpg (deflated 9%) adding: content/yolov5/runs/train/exp5/labels.jpg (deflated 26%) adding: content/yolov5/runs/train/exp5/hyp.yaml (deflated 45%) adding: content/yolov5/runs/train/exp5/weights/ (stored 0%) adding: content/yolov5/runs/train/exp5/weights/last.pt (deflated 8%) adding: content/yolov5/runs/train/exp5/weights/best.pt (deflated 8%) adding: content/yolov5/runs/train/exp5/val_batch1_labels.jpg (deflated 9%) adding: content/yolov5/runs/train/exp5/PR_curve.png (deflated 13%) adding: content/yolov5/runs/train/exp5/events.out.tfevents.1697125177.10a4459761bc.106208.0 (deflated 15%) adding: content/yolov5/runs/train/exp5/train_batch0.jpg (deflated 9%) adding: content/yolov5/runs/train/exp5/val_batch2_labels.jpg (deflated 9%) adding: content/yolov5/runs/train/exp5/val_batch0_labels.jpg (deflated 9%) adding: content/yolov5/runs/train/exp5/results.csv (deflated 83%) adding: content/yolov5/runs/train/exp5/R_curve.png (deflated 10%) adding: content/yolov5/runs/train/exp5/val_batch1_pred.jpg (deflated 8%) adding: content/yolov5/runs/train/exp5/labels_correlogram.jpg (deflated 40%) adding: content/yolov5/runs/train/exp5/results.png (deflated 8%) adding: content/yolov5/runs/train/exp5/val_batch0_pred.jpg (deflated 9%) adding: content/yolov5/runs/train/exp5/confusion_matrix.png (deflated 20%) adding: content/yolov5/runs/train/exp5/P_curve.png (deflated 8%) adding: content/yolov5/runs/train/exp5/opt.yaml (deflated 48%) adding: content/yolov5/runs/train/exp5/train_batch1.jpg (deflated 8%) adding: content/yolov5/runs/train/exp3/ (stored 0%) adding: content/yolov5/runs/train/exp3/val_batch2_pred.jpg (deflated 8%) adding: content/yolov5/runs/train/exp3/F1_curve.png (deflated 7%) adding: content/yolov5/runs/train/exp3/train_batch2.jpg (deflated 8%) adding: content/yolov5/runs/train/exp3/labels.jpg (deflated 26%) adding: content/yolov5/runs/train/exp3/hyp.yaml (deflated 45%) adding: content/yolov5/runs/train/exp3/weights/ (stored 0%) adding: content/yolov5/runs/train/exp3/weights/last.pt (deflated 8%) adding: content/yolov5/runs/train/exp3/weights/best.pt (deflated 8%) adding: content/yolov5/runs/train/exp3/val_batch1_labels.jpg (deflated 8%) adding: content/yolov5/runs/train/exp3/PR_curve.png (deflated 14%) adding: content/yolov5/runs/train/exp3/train_batch0.jpg (deflated 9%) adding: content/yolov5/runs/train/exp3/val_batch2_labels.jpg (deflated 8%) adding: content/yolov5/runs/train/exp3/val_batch0_labels.jpg (deflated 8%) adding: content/yolov5/runs/train/exp3/results.csv (deflated 83%) adding: content/yolov5/runs/train/exp3/R_curve.png (deflated 9%) adding: content/yolov5/runs/train/exp3/events.out.tfevents.1697110401.10a4459761bc.42943.0 (deflated 38%) adding: content/yolov5/runs/train/exp3/val_batch1_pred.jpg (deflated 7%) adding: content/yolov5/runs/train/exp3/labels_correlogram.jpg (deflated 40%) adding: content/yolov5/runs/train/exp3/results.png (deflated 8%) adding: content/yolov5/runs/train/exp3/val_batch0_pred.jpg (deflated 7%) adding: content/yolov5/runs/train/exp3/confusion_matrix.png (deflated 21%) adding: content/yolov5/runs/train/exp3/P_curve.png (deflated 8%) adding: content/yolov5/runs/train/exp3/opt.yaml (deflated 48%) adding: content/yolov5/runs/train/exp3/train_batch1.jpg (deflated 8%) adding: content/yolov5/runs/train/exp2/ (stored 0%) adding: content/yolov5/runs/train/exp2/val_batch2_pred.jpg (deflated 8%) adding: content/yolov5/runs/train/exp2/F1_curve.png (deflated 6%) adding: content/yolov5/runs/train/exp2/train_batch2.jpg (deflated 8%) adding: content/yolov5/runs/train/exp2/labels.jpg (deflated 26%) adding: content/yolov5/runs/train/exp2/hyp.yaml (deflated 45%) adding: content/yolov5/runs/train/exp2/weights/ (stored 0%) adding: content/yolov5/runs/train/exp2/weights/last.pt (deflated 8%) adding: content/yolov5/runs/train/exp2/weights/best.pt (deflated 8%) adding: content/yolov5/runs/train/exp2/events.out.tfevents.1697105117.10a4459761bc.20183.0 (deflated 32%) adding: content/yolov5/runs/train/exp2/val_batch1_labels.jpg (deflated 8%) adding: content/yolov5/runs/train/exp2/PR_curve.png (deflated 11%) adding: content/yolov5/runs/train/exp2/train_batch0.jpg (deflated 9%) adding: content/yolov5/runs/train/exp2/val_batch2_labels.jpg (deflated 8%) adding: content/yolov5/runs/train/exp2/val_batch0_labels.jpg (deflated 8%) adding: content/yolov5/runs/train/exp2/results.csv (deflated 83%) adding: content/yolov5/runs/train/exp2/R_curve.png (deflated 8%) adding: content/yolov5/runs/train/exp2/val_batch1_pred.jpg (deflated 7%) adding: content/yolov5/runs/train/exp2/labels_correlogram.jpg (deflated 40%) adding: content/yolov5/runs/train/exp2/results.png (deflated 8%) adding: content/yolov5/runs/train/exp2/val_batch0_pred.jpg (deflated 7%) adding: 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YoloV3¶
In [34]:
%cd /content
/content
In [29]:
!git clone https://github.com/ultralytics/yolov3
fatal: destination path 'yolov3' already exists and is not an empty directory.
In [30]:
%cd /content/yolov3/
/content/yolov3
In [31]:
!pip install -r requirements.txt
Requirement already satisfied: gitpython>=3.1.30 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 5)) (3.1.37) Requirement already satisfied: matplotlib>=3.3 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 6)) (3.7.1) Requirement already satisfied: numpy>=1.22.2 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 7)) (1.23.5) Requirement already satisfied: opencv-python>=4.1.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 8)) (4.8.0.76) Requirement already satisfied: Pillow>=7.1.2 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 9)) (9.4.0) Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 10)) (5.9.5) Requirement already satisfied: PyYAML>=5.3.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 11)) (6.0.1) Requirement already satisfied: requests>=2.23.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 12)) (2.31.0) Requirement already satisfied: scipy>=1.4.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 13)) (1.11.3) Requirement already satisfied: thop>=0.1.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 14)) (0.1.1.post2209072238) Requirement already satisfied: torch>=1.8.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 15)) (2.0.1+cu118) Requirement already satisfied: torchvision>=0.9.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 16)) (0.15.2+cu118) Requirement already satisfied: tqdm>=4.64.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 17)) (4.66.1) Requirement already satisfied: ultralytics>=8.0.147 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 18)) (8.0.197) Requirement already satisfied: pandas>=1.1.4 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 27)) (1.5.3) Requirement already satisfied: seaborn>=0.11.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 28)) (0.12.2) Requirement already satisfied: setuptools>=65.5.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 42)) (67.7.2) Requirement already satisfied: gitdb<5,>=4.0.1 in /usr/local/lib/python3.10/dist-packages (from gitpython>=3.1.30->-r requirements.txt (line 5)) (4.0.10) Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3->-r requirements.txt (line 6)) (1.1.1) Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3->-r requirements.txt (line 6)) (0.12.1) Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3->-r requirements.txt (line 6)) (4.43.1) Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3->-r requirements.txt (line 6)) (1.4.5) Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3->-r requirements.txt (line 6)) (23.2) Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3->-r requirements.txt (line 6)) (3.1.1) Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3->-r requirements.txt (line 6)) (2.8.2) Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.23.0->-r requirements.txt (line 12)) (3.3.0) Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.23.0->-r requirements.txt (line 12)) (3.4) Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.23.0->-r requirements.txt (line 12)) (2.0.6) Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.23.0->-r requirements.txt (line 12)) (2023.7.22) Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->-r requirements.txt (line 15)) (3.12.4) Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->-r requirements.txt (line 15)) (4.5.0) Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->-r requirements.txt (line 15)) (1.12) Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->-r requirements.txt (line 15)) (3.1) Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->-r requirements.txt (line 15)) (3.1.2) Requirement already satisfied: triton==2.0.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->-r requirements.txt (line 15)) (2.0.0) Requirement already satisfied: cmake in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.8.0->-r requirements.txt (line 15)) (3.27.6) Requirement already satisfied: lit in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.8.0->-r requirements.txt (line 15)) (17.0.2) Requirement already satisfied: py-cpuinfo in /usr/local/lib/python3.10/dist-packages (from ultralytics>=8.0.147->-r requirements.txt (line 18)) (9.0.0) Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=1.1.4->-r requirements.txt (line 27)) (2023.3.post1) Requirement already satisfied: smmap<6,>=3.0.1 in /usr/local/lib/python3.10/dist-packages (from gitdb<5,>=4.0.1->gitpython>=3.1.30->-r requirements.txt (line 5)) (5.0.1) Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from 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In [32]:
train: '/content/drive/MyDrive/16/yolo/train/images'
val: '/content/drive/MyDrive/16/yolo/valid/images'
# number of classes
nc: 8
# class names
names: ['car', 'pickup', 'camping','truck', 'other', 'tractor', 'boat', 'van']
In [28]:
!python train.py --img 416 --batch 16 --epochs 200 --data /content/drive/MyDrive/16/yolo/data.yaml --weights yolov3.pt
train: weights=yolov3.pt, cfg=, data=/content/drive/MyDrive/16/yolo/data.yaml, hyp=data/hyps/hyp.scratch-low.yaml, epochs=200, batch_size=16, imgsz=416, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, noplots=False, evolve=None, bucket=, cache=None, image_weights=False, device=, multi_scale=False, single_cls=False, optimizer=SGD, sync_bn=False, workers=8, project=runs/train, name=exp, exist_ok=False, quad=False, cos_lr=False, label_smoothing=0.0, patience=100, freeze=[0], save_period=-1, seed=0, local_rank=-1, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest remote: Enumerating objects: 16003, done. remote: Counting objects: 100% (36/36), done. remote: Compressing objects: 100% (23/23), done. remote: Total 16003 (delta 21), reused 20 (delta 13), pack-reused 15967 Receiving objects: 100% (16003/16003), 14.60 MiB | 15.16 MiB/s, done. Command 'git fetch ultralytics' timed out after 5 seconds Resolving deltas: 100% (10987/10987), done. YOLOv3 🚀 v9.6.0-115-g814fd8d Python-3.10.12 torch-2.0.1+cu118 CUDA:0 (Tesla T4, 15102MiB) hyperparameters: lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=0.05, cls=0.5, cls_pw=1.0, obj=1.0, obj_pw=1.0, iou_t=0.2, anchor_t=4.0, fl_gamma=0.0, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0 Comet: run 'pip install comet_ml' to automatically track and visualize YOLOv3 🚀 runs in Comet TensorBoard: Start with 'tensorboard --logdir runs/train', view at http://localhost:6006/ From https://github.com/ultralytics/yolov5 * [new branch] add/weights_dir -> ultralytics/add/weights_dir * [new branch] benchmarks -> ultralytics/benchmarks * [new branch] exp/scaleFill -> ultralytics/exp/scaleFill * [new branch] exp12 -> ultralytics/exp12 * [new branch] exp13 -> ultralytics/exp13 * [new branch] exp13-nosoft -> ultralytics/exp13-nosoft * [new branch] exp13-soft -> ultralytics/exp13-soft * [new branch] fix/rgb_albumentations -> ultralytics/fix/rgb_albumentations * [new branch] ghost -> ultralytics/ghost * [new branch] master -> ultralytics/master * [new branch] snyk-fix-a60a474e971b1fa06fc140b3a23197c3 -> ultralytics/snyk-fix-a60a474e971b1fa06fc140b3a23197c3 * [new branch] study_activations -> ultralytics/study_activations * [new branch] ultralytics/HUB -> ultralytics/ultralytics/HUB * [new branch] update/cls-album -> ultralytics/update/cls-album * [new branch] update/textlogger -> ultralytics/update/textlogger * [new branch] update/threaded -> ultralytics/update/threaded * [new tag] v3.1 -> v3.1 * [new tag] v4.0 -> v4.0 * [new tag] v5.0 -> v5.0 * [new tag] v6.0 -> v6.0 * [new tag] v6.1 -> v6.1 * [new tag] v6.2 -> v6.2 * [new tag] v7.0 -> v7.0 Downloading https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov3.pt to yolov3.pt... 100% 119M/119M [00:07<00:00, 17.5MB/s] Overriding model.yaml nc=80 with nc=8 from n params module arguments 0 -1 1 928 models.common.Conv [3, 32, 3, 1] 1 -1 1 18560 models.common.Conv [32, 64, 3, 2] 2 -1 1 20672 models.common.Bottleneck [64, 64] 3 -1 1 73984 models.common.Conv [64, 128, 3, 2] 4 -1 2 164608 models.common.Bottleneck [128, 128] 5 -1 1 295424 models.common.Conv [128, 256, 3, 2] 6 -1 8 2627584 models.common.Bottleneck [256, 256] 7 -1 1 1180672 models.common.Conv [256, 512, 3, 2] 8 -1 8 10498048 models.common.Bottleneck [512, 512] 9 -1 1 4720640 models.common.Conv [512, 1024, 3, 2] 10 -1 4 20983808 models.common.Bottleneck [1024, 1024] 11 -1 1 5245952 models.common.Bottleneck [1024, 1024, False] 12 -1 1 525312 models.common.Conv [1024, 512, 1, 1] 13 -1 1 4720640 models.common.Conv [512, 1024, 3, 1] 14 -1 1 525312 models.common.Conv [1024, 512, 1, 1] 15 -1 1 4720640 models.common.Conv [512, 1024, 3, 1] 16 -2 1 131584 models.common.Conv [512, 256, 1, 1] 17 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] 18 [-1, 8] 1 0 models.common.Concat [1] 19 -1 1 1377792 models.common.Bottleneck [768, 512, False] 20 -1 1 1312256 models.common.Bottleneck [512, 512, False] 21 -1 1 131584 models.common.Conv [512, 256, 1, 1] 22 -1 1 1180672 models.common.Conv [256, 512, 3, 1] 23 -2 1 33024 models.common.Conv [256, 128, 1, 1] 24 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] 25 [-1, 6] 1 0 models.common.Concat [1] 26 -1 1 344832 models.common.Bottleneck [384, 256, False] 27 -1 2 656896 models.common.Bottleneck [256, 256, False] 28 [27, 22, 15] 1 70005 models.yolo.Detect [8, [[10, 13, 16, 30, 33, 23], [30, 61, 62, 45, 59, 119], [116, 90, 156, 198, 373, 326]], [256, 512, 1024]] Model summary: 262 layers, 61561429 parameters, 61561429 gradients, 155.4 GFLOPs Transferred 433/439 items from yolov3.pt AMP: checks passed ✅ optimizer: SGD(lr=0.01) with parameter groups 72 weight(decay=0.0), 75 weight(decay=0.0005), 75 bias albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8)) train: Scanning /content/drive/MyDrive/16/yolo/train/labels.cache... 691 images, 11 backgrounds, 10 corrupt: 100% 691/691 [00:00<?, ?it/s] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000033.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0004] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000044.png: ignoring corrupt image/label: negative label values [ -0.0036738] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000111.png: ignoring corrupt image/label: negative label values [-5.7568e-05] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000219.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0015] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000281.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0083] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000338.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0045] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000463.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.001] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000484.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0029] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000550.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0095] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000614.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0007] val: Scanning /content/drive/MyDrive/16/yolo/valid/labels.cache... 265 images, 9 backgrounds, 4 corrupt: 100% 265/265 [00:00<?, ?it/s] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000033.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0004] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000044.png: ignoring corrupt image/label: negative label values [ -0.0036738] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000111.png: ignoring corrupt image/label: negative label values [-5.7568e-05] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000219.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0015] AutoAnchor: 3.41 anchors/target, 1.000 Best Possible Recall (BPR). Current anchors are a good fit to dataset ✅ Plotting labels to runs/train/exp/labels.jpg... Image sizes 416 train, 416 val Using 8 dataloader workers Logging results to runs/train/exp Starting training for 200 epochs... Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 0/199 5.58G 0.1011 0.0176 0.04736 41 416: 100% 43/43 [00:19<00:00, 2.25it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:02<00:00, 3.08it/s] all 261 1002 4.85e-05 0.00707 2.79e-05 7.78e-06 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 1/199 7.02G 0.08219 0.01926 0.04209 39 416: 100% 43/43 [00:14<00:00, 2.95it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:04<00:00, 2.14it/s] all 261 1002 0.00626 0.295 0.00798 0.00202 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 2/199 7.02G 0.07805 0.01576 0.0409 42 416: 100% 43/43 [00:14<00:00, 2.89it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.65it/s] all 261 1002 0.00699 0.522 0.0265 0.0078 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 3/199 7.02G 0.07628 0.01539 0.04116 56 416: 100% 43/43 [00:15<00:00, 2.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.50it/s] all 261 1002 0.702 0.156 0.0396 0.0159 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 4/199 7.02G 0.06647 0.01455 0.03992 71 416: 100% 43/43 [00:15<00:00, 2.80it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.76it/s] all 261 1002 0.78 0.0735 0.0353 0.00895 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 5/199 7.02G 0.06026 0.01402 0.03919 36 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.70it/s] all 261 1002 0.744 0.206 0.127 0.0473 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 6/199 7.02G 0.06271 0.01335 0.04031 27 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.76it/s] all 261 1002 0.607 0.212 0.151 0.0494 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 7/199 7.02G 0.0593 0.01299 0.03818 46 416: 100% 43/43 [00:15<00:00, 2.82it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.60it/s] all 261 1002 0.543 0.275 0.2 0.0923 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 8/199 7.02G 0.05524 0.01344 0.0365 54 416: 100% 43/43 [00:15<00:00, 2.81it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.75it/s] all 261 1002 0.536 0.255 0.16 0.0576 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 9/199 7.02G 0.05765 0.01252 0.03784 63 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.639 0.247 0.161 0.0673 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 10/199 7.02G 0.05103 0.01245 0.035 34 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.61it/s] all 261 1002 0.53 0.272 0.177 0.072 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 11/199 7.02G 0.05485 0.01217 0.03483 26 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.58it/s] all 261 1002 0.572 0.19 0.155 0.0626 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 12/199 7.02G 0.05239 0.01275 0.03244 20 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.5 0.291 0.189 0.0769 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 13/199 7.02G 0.05252 0.01159 0.03164 27 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.74it/s] all 261 1002 0.41 0.254 0.16 0.063 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 14/199 7.02G 0.04951 0.01208 0.03204 46 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.73it/s] all 261 1002 0.508 0.382 0.25 0.0982 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 15/199 7.02G 0.05116 0.01171 0.03479 30 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.74it/s] all 261 1002 0.614 0.376 0.288 0.143 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 16/199 7.02G 0.04853 0.01155 0.03232 47 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.70it/s] all 261 1002 0.492 0.352 0.268 0.125 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 17/199 7.02G 0.04981 0.0113 0.03174 32 416: 100% 43/43 [00:15<00:00, 2.82it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.73it/s] all 261 1002 0.585 0.335 0.27 0.134 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 18/199 7.02G 0.05091 0.01116 0.03147 24 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.65it/s] all 261 1002 0.535 0.347 0.274 0.135 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 19/199 7.02G 0.04871 0.01114 0.03355 20 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.74it/s] all 261 1002 0.328 0.356 0.23 0.115 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 20/199 7.02G 0.04445 0.01079 0.03029 44 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.70it/s] all 261 1002 0.542 0.364 0.287 0.136 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 21/199 7.02G 0.04278 0.01112 0.0272 28 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.72it/s] all 261 1002 0.524 0.359 0.303 0.156 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 22/199 7.02G 0.0482 0.01091 0.0309 59 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.72it/s] all 261 1002 0.545 0.415 0.333 0.17 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 23/199 7.02G 0.04785 0.01115 0.02947 41 416: 100% 43/43 [00:15<00:00, 2.82it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.72it/s] all 261 1002 0.519 0.392 0.329 0.172 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 24/199 7.02G 0.04766 0.01125 0.03047 22 416: 100% 43/43 [00:15<00:00, 2.82it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.70it/s] all 261 1002 0.656 0.331 0.315 0.152 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 25/199 7.02G 0.04289 0.01097 0.02842 36 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.75it/s] all 261 1002 0.678 0.357 0.348 0.174 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 26/199 7.02G 0.0443 0.01111 0.02578 50 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.74it/s] all 261 1002 0.614 0.326 0.288 0.127 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 27/199 7.02G 0.0463 0.01086 0.03121 41 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.71it/s] all 261 1002 0.67 0.389 0.373 0.187 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 28/199 7.02G 0.04424 0.01069 0.0297 45 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.78it/s] all 261 1002 0.652 0.339 0.304 0.147 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 29/199 7.02G 0.04448 0.01018 0.02789 24 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.70it/s] all 261 1002 0.575 0.402 0.377 0.188 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 30/199 7.02G 0.04621 0.01066 0.02834 47 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.73it/s] all 261 1002 0.455 0.411 0.346 0.178 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 31/199 7.02G 0.04822 0.0104 0.0303 46 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.62it/s] all 261 1002 0.687 0.348 0.371 0.191 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 32/199 7.02G 0.04316 0.01034 0.0275 28 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.71it/s] all 261 1002 0.701 0.361 0.394 0.199 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 33/199 7.02G 0.04218 0.01007 0.02647 36 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.67it/s] all 261 1002 0.697 0.353 0.376 0.189 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 34/199 7.02G 0.04324 0.01066 0.02572 36 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.70it/s] all 261 1002 0.726 0.335 0.379 0.208 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 35/199 7.02G 0.04486 0.01031 0.02647 31 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.693 0.381 0.379 0.2 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 36/199 7.02G 0.04055 0.009874 0.02419 39 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.67it/s] all 261 1002 0.754 0.385 0.443 0.251 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 37/199 7.02G 0.04676 0.01137 0.02651 24 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.748 0.385 0.465 0.259 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 38/199 7.02G 0.0404 0.01023 0.02473 21 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.72it/s] all 261 1002 0.737 0.392 0.471 0.266 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 39/199 7.02G 0.04126 0.009692 0.02497 36 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.524 0.521 0.472 0.27 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 40/199 7.02G 0.04449 0.00954 0.02685 35 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.72it/s] all 261 1002 0.435 0.467 0.394 0.206 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 41/199 7.02G 0.03652 0.009924 0.02187 28 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.71it/s] all 261 1002 0.538 0.524 0.525 0.292 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 42/199 7.02G 0.03986 0.009942 0.02132 42 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.72it/s] all 261 1002 0.635 0.499 0.505 0.276 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 43/199 7.02G 0.04234 0.009425 0.02336 31 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.71it/s] all 261 1002 0.552 0.557 0.515 0.3 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 44/199 7.02G 0.04436 0.009793 0.02277 42 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.73it/s] all 261 1002 0.517 0.595 0.545 0.298 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 45/199 7.02G 0.04224 0.009154 0.02159 13 416: 100% 43/43 [00:15<00:00, 2.82it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.74it/s] all 261 1002 0.567 0.586 0.54 0.301 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 46/199 7.02G 0.041 0.009238 0.0223 51 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.74it/s] all 261 1002 0.573 0.571 0.561 0.315 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 47/199 7.02G 0.04096 0.009466 0.0222 51 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.65it/s] all 261 1002 0.621 0.529 0.556 0.31 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 48/199 7.02G 0.04084 0.009451 0.02185 27 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.71it/s] all 261 1002 0.653 0.54 0.594 0.341 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 49/199 7.02G 0.03946 0.009886 0.02106 33 416: 100% 43/43 [00:15<00:00, 2.86it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.68it/s] all 261 1002 0.638 0.52 0.551 0.306 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 50/199 7.02G 0.03767 0.009555 0.01977 36 416: 100% 43/43 [00:14<00:00, 2.87it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.73it/s] all 261 1002 0.621 0.503 0.543 0.279 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 51/199 7.02G 0.03947 0.009447 0.01991 33 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.73it/s] all 261 1002 0.445 0.587 0.575 0.325 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 52/199 7.02G 0.04126 0.009049 0.01917 39 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.74it/s] all 261 1002 0.686 0.561 0.602 0.325 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 53/199 7.02G 0.04169 0.009145 0.02156 42 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.73it/s] all 261 1002 0.54 0.573 0.58 0.335 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 54/199 7.02G 0.0388 0.009009 0.01774 33 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.70it/s] all 261 1002 0.736 0.558 0.633 0.356 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 55/199 7.02G 0.03817 0.008963 0.01824 27 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.75it/s] all 261 1002 0.688 0.572 0.605 0.348 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 56/199 7.02G 0.03936 0.009039 0.01937 71 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.67it/s] all 261 1002 0.709 0.602 0.623 0.361 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 57/199 7.02G 0.03822 0.009052 0.01856 55 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.74it/s] all 261 1002 0.714 0.59 0.638 0.36 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 58/199 7.02G 0.03771 0.009121 0.01815 45 416: 100% 43/43 [00:15<00:00, 2.86it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.72it/s] all 261 1002 0.671 0.608 0.631 0.358 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 59/199 7.02G 0.04085 0.009138 0.02119 30 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.71it/s] all 261 1002 0.708 0.56 0.605 0.342 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 60/199 7.02G 0.03684 0.009075 0.01866 40 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.66it/s] all 261 1002 0.726 0.548 0.639 0.365 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 61/199 7.02G 0.04352 0.009672 0.02209 44 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.711 0.627 0.667 0.387 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 62/199 7.02G 0.03957 0.009113 0.02037 23 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.65it/s] all 261 1002 0.654 0.504 0.572 0.291 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 63/199 7.02G 0.03857 0.009304 0.01822 43 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.72it/s] all 261 1002 0.728 0.6 0.632 0.353 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 64/199 7.02G 0.03678 0.009188 0.01891 77 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.71it/s] all 261 1002 0.702 0.598 0.663 0.364 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 65/199 7.02G 0.03693 0.008963 0.01822 53 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.75it/s] all 261 1002 0.759 0.607 0.676 0.397 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 66/199 7.02G 0.03652 0.008665 0.01701 29 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.785 0.602 0.681 0.393 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 67/199 7.02G 0.03657 0.008698 0.01627 30 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.72it/s] all 261 1002 0.72 0.592 0.67 0.398 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 68/199 7.02G 0.03548 0.008948 0.0165 47 416: 100% 43/43 [00:15<00:00, 2.86it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.73it/s] all 261 1002 0.737 0.652 0.719 0.4 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 69/199 7.02G 0.03799 0.008768 0.01675 35 416: 100% 43/43 [00:15<00:00, 2.86it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.74it/s] all 261 1002 0.76 0.595 0.692 0.386 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 70/199 7.02G 0.0423 0.009166 0.01709 40 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.70it/s] all 261 1002 0.747 0.598 0.695 0.363 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 71/199 7.02G 0.04006 0.008535 0.01656 41 416: 100% 43/43 [00:15<00:00, 2.82it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.696 0.565 0.653 0.367 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 72/199 7.02G 0.04299 0.009071 0.01728 30 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.76it/s] all 261 1002 0.652 0.517 0.587 0.333 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 73/199 7.02G 0.03767 0.008984 0.01692 32 416: 100% 43/43 [00:15<00:00, 2.86it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.62it/s] all 261 1002 0.812 0.601 0.752 0.422 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 74/199 7.02G 0.03818 0.009004 0.01738 40 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.65it/s] all 261 1002 0.798 0.639 0.777 0.462 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 75/199 7.02G 0.0365 0.00846 0.01454 58 416: 100% 43/43 [00:15<00:00, 2.82it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.67it/s] all 261 1002 0.738 0.592 0.701 0.377 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 76/199 7.02G 0.03897 0.008749 0.01415 23 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.67it/s] all 261 1002 0.842 0.654 0.789 0.474 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 77/199 7.02G 0.03833 0.008477 0.01451 37 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.66it/s] all 261 1002 0.787 0.663 0.798 0.473 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 78/199 7.02G 0.03594 0.008571 0.015 47 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.71it/s] all 261 1002 0.784 0.659 0.77 0.441 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 79/199 7.02G 0.03571 0.008803 0.01438 53 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.70it/s] all 261 1002 0.84 0.683 0.812 0.482 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 80/199 7.02G 0.03488 0.007976 0.01233 45 416: 100% 43/43 [00:15<00:00, 2.86it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.70it/s] all 261 1002 0.824 0.656 0.798 0.463 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 81/199 7.02G 0.03511 0.008579 0.01398 36 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.71it/s] all 261 1002 0.82 0.668 0.82 0.492 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 82/199 7.02G 0.03846 0.008155 0.01343 34 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.71it/s] all 261 1002 0.674 0.77 0.812 0.49 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 83/199 7.02G 0.03547 0.008271 0.01577 22 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.74it/s] all 261 1002 0.844 0.712 0.849 0.529 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 84/199 7.02G 0.03803 0.0082 0.01612 25 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.71it/s] all 261 1002 0.881 0.651 0.838 0.513 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 85/199 7.02G 0.03463 0.008419 0.01572 59 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.70it/s] all 261 1002 0.698 0.756 0.808 0.482 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 86/199 7.02G 0.03695 0.008546 0.01533 42 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.71it/s] all 261 1002 0.642 0.717 0.785 0.443 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 87/199 7.02G 0.03721 0.008015 0.01536 31 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.70it/s] all 261 1002 0.721 0.758 0.85 0.528 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 88/199 7.02G 0.0312 0.008126 0.01216 48 416: 100% 43/43 [00:15<00:00, 2.86it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.71it/s] all 261 1002 0.756 0.789 0.865 0.497 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 89/199 7.02G 0.03608 0.008204 0.01318 25 416: 100% 43/43 [00:15<00:00, 2.81it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.75it/s] all 261 1002 0.719 0.716 0.809 0.484 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 90/199 7.02G 0.03702 0.008096 0.01312 22 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.761 0.752 0.823 0.505 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 91/199 7.02G 0.03377 0.007938 0.01276 63 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.70it/s] all 261 1002 0.767 0.785 0.857 0.535 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 92/199 7.02G 0.0341 0.008266 0.01228 48 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.771 0.789 0.863 0.528 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 93/199 7.02G 0.03484 0.008251 0.01247 31 416: 100% 43/43 [00:15<00:00, 2.82it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.70it/s] all 261 1002 0.781 0.774 0.863 0.533 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 94/199 7.02G 0.03277 0.00829 0.01032 48 416: 100% 43/43 [00:15<00:00, 2.86it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.73it/s] all 261 1002 0.736 0.729 0.836 0.503 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 95/199 7.02G 0.03647 0.007802 0.01148 26 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.68it/s] all 261 1002 0.813 0.818 0.884 0.554 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 96/199 7.02G 0.0354 0.00833 0.01235 33 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.67it/s] all 261 1002 0.856 0.751 0.868 0.53 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 97/199 7.02G 0.03563 0.007723 0.01414 14 416: 100% 43/43 [00:15<00:00, 2.81it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.79 0.768 0.872 0.528 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 98/199 7.02G 0.03138 0.007787 0.01096 44 416: 100% 43/43 [00:15<00:00, 2.86it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.799 0.739 0.865 0.518 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 99/199 7.02G 0.03482 0.00786 0.0119 47 416: 100% 43/43 [00:15<00:00, 2.86it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.71it/s] all 261 1002 0.662 0.729 0.782 0.469 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 100/199 7.02G 0.03297 0.007998 0.01199 39 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.792 0.769 0.843 0.526 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 101/199 7.02G 0.0358 0.007627 0.01032 36 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.63it/s] all 261 1002 0.777 0.781 0.841 0.508 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 102/199 7.02G 0.03453 0.007381 0.01051 43 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.74it/s] all 261 1002 0.764 0.781 0.845 0.491 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 103/199 7.02G 0.03639 0.008565 0.01267 35 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.71it/s] all 261 1002 0.858 0.83 0.9 0.569 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 104/199 7.02G 0.03644 0.00762 0.01288 46 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.822 0.815 0.878 0.538 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 105/199 7.02G 0.03303 0.007616 0.01237 31 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.72it/s] all 261 1002 0.833 0.823 0.877 0.553 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 106/199 7.02G 0.03594 0.008041 0.01287 44 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.845 0.821 0.878 0.565 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 107/199 7.02G 0.03231 0.008235 0.0115 70 416: 100% 43/43 [00:15<00:00, 2.86it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.72it/s] all 261 1002 0.86 0.816 0.902 0.585 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 108/199 7.02G 0.03236 0.007979 0.01154 40 416: 100% 43/43 [00:14<00:00, 2.88it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.71it/s] all 261 1002 0.863 0.839 0.922 0.581 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 109/199 7.02G 0.03735 0.007563 0.01052 43 416: 100% 43/43 [00:15<00:00, 2.82it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.72it/s] all 261 1002 0.915 0.82 0.915 0.589 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 110/199 7.02G 0.03104 0.007576 0.01007 57 416: 100% 43/43 [00:15<00:00, 2.82it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.72it/s] all 261 1002 0.839 0.846 0.907 0.564 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 111/199 7.02G 0.03246 0.007309 0.0102 37 416: 100% 43/43 [00:15<00:00, 2.86it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.71it/s] all 261 1002 0.904 0.854 0.934 0.592 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 112/199 7.02G 0.03358 0.007789 0.01008 49 416: 100% 43/43 [00:14<00:00, 2.87it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.72it/s] all 261 1002 0.848 0.865 0.924 0.589 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 113/199 7.02G 0.03117 0.007394 0.008604 15 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.70it/s] all 261 1002 0.9 0.862 0.938 0.614 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 114/199 7.02G 0.03308 0.007459 0.01199 50 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.68it/s] all 261 1002 0.887 0.845 0.931 0.595 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 115/199 7.02G 0.03356 0.007614 0.009512 31 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.73it/s] all 261 1002 0.891 0.86 0.934 0.603 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 116/199 7.02G 0.031 0.007452 0.009403 42 416: 100% 43/43 [00:15<00:00, 2.86it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.909 0.893 0.945 0.621 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 117/199 7.02G 0.03118 0.007005 0.009166 37 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.71it/s] all 261 1002 0.892 0.888 0.939 0.623 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 118/199 7.02G 0.03145 0.00682 0.0082 43 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.905 0.86 0.939 0.628 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 119/199 7.02G 0.03245 0.007342 0.008981 25 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.72it/s] all 261 1002 0.896 0.847 0.92 0.604 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 120/199 7.02G 0.03235 0.007113 0.008658 41 416: 100% 43/43 [00:15<00:00, 2.86it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.70it/s] all 261 1002 0.9 0.887 0.939 0.62 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 121/199 7.02G 0.03321 0.00733 0.008943 15 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.72it/s] all 261 1002 0.889 0.881 0.941 0.618 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 122/199 7.02G 0.03273 0.007615 0.008186 37 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.73it/s] all 261 1002 0.852 0.865 0.914 0.567 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 123/199 7.02G 0.02949 0.007347 0.006573 53 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.929 0.893 0.951 0.607 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 124/199 7.02G 0.02904 0.006896 0.007736 40 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.74it/s] all 261 1002 0.873 0.9 0.942 0.609 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 125/199 7.02G 0.0283 0.007227 0.006499 22 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.67it/s] all 261 1002 0.897 0.885 0.942 0.637 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 126/199 7.02G 0.03093 0.006917 0.007514 39 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.76it/s] all 261 1002 0.919 0.892 0.952 0.643 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 127/199 7.02G 0.03233 0.006841 0.008019 43 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.68it/s] all 261 1002 0.901 0.905 0.953 0.632 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 128/199 7.02G 0.03084 0.006786 0.007081 40 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.70it/s] all 261 1002 0.935 0.893 0.958 0.647 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 129/199 7.02G 0.03124 0.007091 0.007967 45 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.74it/s] all 261 1002 0.899 0.906 0.957 0.652 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 130/199 7.02G 0.03073 0.006948 0.01003 18 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.72it/s] all 261 1002 0.926 0.914 0.961 0.669 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 131/199 7.02G 0.02829 0.007663 0.007737 48 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.65it/s] all 261 1002 0.938 0.896 0.955 0.657 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 132/199 7.02G 0.03037 0.007034 0.007666 34 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.71it/s] all 261 1002 0.898 0.9 0.95 0.648 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 133/199 7.02G 0.02869 0.007031 0.007352 45 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.71it/s] all 261 1002 0.909 0.885 0.943 0.634 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 134/199 7.02G 0.03092 0.006817 0.008554 25 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.74it/s] all 261 1002 0.928 0.905 0.954 0.646 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 135/199 7.02G 0.02718 0.006585 0.005874 50 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.917 0.932 0.966 0.67 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 136/199 7.02G 0.03173 0.006978 0.007344 22 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.72it/s] all 261 1002 0.918 0.917 0.957 0.648 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 137/199 7.02G 0.0308 0.00735 0.00769 21 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.924 0.888 0.95 0.657 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 138/199 7.02G 0.02928 0.006391 0.007345 31 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.64it/s] all 261 1002 0.913 0.918 0.958 0.649 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 139/199 7.02G 0.03071 0.006982 0.007382 33 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.873 0.918 0.95 0.636 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 140/199 7.02G 0.02915 0.006745 0.006086 34 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.64it/s] all 261 1002 0.909 0.919 0.962 0.658 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 141/199 7.02G 0.02887 0.006792 0.006459 67 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.93 0.915 0.958 0.654 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 142/199 7.02G 0.02637 0.006943 0.005331 66 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.941 0.903 0.958 0.672 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 143/199 7.02G 0.02949 0.006625 0.008043 65 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.71it/s] all 261 1002 0.945 0.91 0.966 0.681 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 144/199 7.02G 0.02615 0.00663 0.005839 32 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.64it/s] all 261 1002 0.937 0.932 0.966 0.671 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 145/199 7.02G 0.03094 0.006939 0.009057 42 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.72it/s] all 261 1002 0.939 0.912 0.961 0.67 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 146/199 7.02G 0.02801 0.006898 0.007456 46 416: 100% 43/43 [00:15<00:00, 2.86it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.71it/s] all 261 1002 0.939 0.877 0.958 0.656 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 147/199 7.02G 0.02825 0.006805 0.006167 43 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.72it/s] all 261 1002 0.942 0.918 0.963 0.68 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 148/199 7.02G 0.02765 0.006599 0.005933 53 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.906 0.912 0.957 0.675 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 149/199 7.02G 0.02778 0.006432 0.007205 49 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.63it/s] all 261 1002 0.939 0.925 0.965 0.672 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 150/199 7.02G 0.03059 0.006121 0.007739 18 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.70it/s] all 261 1002 0.954 0.905 0.961 0.679 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 151/199 7.02G 0.03011 0.006776 0.006962 38 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.68it/s] all 261 1002 0.947 0.918 0.96 0.677 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 152/199 7.02G 0.02961 0.006885 0.007115 28 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.944 0.917 0.959 0.676 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 153/199 7.02G 0.02812 0.006629 0.005631 28 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.73it/s] all 261 1002 0.962 0.935 0.967 0.689 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 154/199 7.02G 0.0277 0.006383 0.006635 28 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.70it/s] all 261 1002 0.955 0.927 0.966 0.689 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 155/199 7.02G 0.0284 0.006587 0.005704 34 416: 100% 43/43 [00:15<00:00, 2.79it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.95 0.925 0.966 0.67 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 156/199 7.02G 0.02901 0.00675 0.006146 39 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.68it/s] all 261 1002 0.947 0.909 0.961 0.672 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 157/199 7.02G 0.02679 0.006094 0.005531 24 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.70it/s] all 261 1002 0.949 0.905 0.958 0.656 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 158/199 7.02G 0.02636 0.00609 0.005285 28 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.66it/s] all 261 1002 0.944 0.937 0.967 0.687 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 159/199 7.02G 0.02668 0.006678 0.007307 36 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.70it/s] all 261 1002 0.948 0.932 0.967 0.697 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 160/199 7.02G 0.02585 0.006394 0.005594 43 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.66it/s] all 261 1002 0.945 0.935 0.967 0.688 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 161/199 7.02G 0.02687 0.006117 0.006247 49 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.67it/s] all 261 1002 0.963 0.931 0.968 0.688 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 162/199 7.02G 0.02613 0.006106 0.00526 58 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.957 0.935 0.968 0.683 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 163/199 7.02G 0.02637 0.006588 0.005772 43 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.68it/s] all 261 1002 0.947 0.927 0.961 0.678 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 164/199 7.02G 0.02684 0.006383 0.005113 30 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.72it/s] all 261 1002 0.94 0.932 0.96 0.681 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 165/199 7.02G 0.0281 0.006046 0.006637 39 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.65it/s] all 261 1002 0.937 0.935 0.965 0.688 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 166/199 7.02G 0.02641 0.006333 0.006048 40 416: 100% 43/43 [00:14<00:00, 2.88it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.72it/s] all 261 1002 0.948 0.936 0.969 0.699 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 167/199 7.02G 0.02676 0.006419 0.00549 25 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.65it/s] all 261 1002 0.969 0.932 0.97 0.7 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 168/199 7.02G 0.02485 0.006357 0.00596 42 416: 100% 43/43 [00:15<00:00, 2.82it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.70it/s] all 261 1002 0.968 0.927 0.968 0.688 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 169/199 7.02G 0.02409 0.005946 0.004956 30 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.66it/s] all 261 1002 0.953 0.927 0.967 0.695 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 170/199 7.02G 0.02569 0.006315 0.006247 54 416: 100% 43/43 [00:14<00:00, 2.87it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.70it/s] all 261 1002 0.945 0.956 0.973 0.694 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 171/199 7.02G 0.02428 0.005991 0.004623 22 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.953 0.956 0.973 0.71 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 172/199 7.02G 0.02554 0.006122 0.005691 19 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.64it/s] all 261 1002 0.952 0.947 0.972 0.708 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 173/199 7.02G 0.02315 0.006292 0.005763 45 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.965 0.937 0.971 0.711 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 174/199 7.02G 0.02751 0.006025 0.006924 30 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.68it/s] all 261 1002 0.97 0.944 0.971 0.708 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 175/199 7.02G 0.02747 0.006451 0.005354 34 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.71it/s] all 261 1002 0.97 0.949 0.97 0.719 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 176/199 7.02G 0.02488 0.005792 0.006047 42 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.65it/s] all 261 1002 0.977 0.947 0.971 0.714 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 177/199 7.02G 0.0264 0.006039 0.005453 20 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.66it/s] all 261 1002 0.972 0.935 0.971 0.707 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 178/199 7.02G 0.02714 0.006168 0.006382 29 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.66it/s] all 261 1002 0.955 0.943 0.972 0.714 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 179/199 7.02G 0.02339 0.00636 0.004437 50 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.70it/s] all 261 1002 0.964 0.951 0.971 0.705 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 180/199 7.02G 0.02593 0.006068 0.005745 36 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.70it/s] all 261 1002 0.969 0.955 0.973 0.716 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 181/199 7.02G 0.02374 0.006079 0.004995 30 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.67it/s] all 261 1002 0.974 0.951 0.971 0.708 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 182/199 7.02G 0.02611 0.005914 0.005975 36 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.71it/s] all 261 1002 0.963 0.946 0.971 0.709 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 183/199 7.02G 0.02323 0.005957 0.004207 61 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.67it/s] all 261 1002 0.973 0.943 0.972 0.713 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 184/199 7.02G 0.02476 0.005983 0.006353 32 416: 100% 43/43 [00:15<00:00, 2.86it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.979 0.94 0.972 0.724 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 185/199 7.02G 0.02504 0.005876 0.005089 34 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.65it/s] all 261 1002 0.97 0.949 0.972 0.718 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 186/199 7.02G 0.0239 0.006178 0.005418 43 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.68it/s] all 261 1002 0.975 0.944 0.972 0.722 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 187/199 7.02G 0.02347 0.00605 0.005223 43 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.971 0.941 0.972 0.712 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 188/199 7.02G 0.02376 0.00592 0.004424 50 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.66it/s] all 261 1002 0.969 0.941 0.97 0.716 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 189/199 7.02G 0.02383 0.005125 0.0049 24 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.68it/s] all 261 1002 0.971 0.941 0.971 0.714 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 190/199 7.02G 0.02191 0.005946 0.004366 24 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.67it/s] all 261 1002 0.973 0.945 0.972 0.713 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 191/199 7.02G 0.02472 0.005694 0.005859 32 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.70it/s] all 261 1002 0.969 0.944 0.971 0.728 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 192/199 7.02G 0.02322 0.006014 0.00446 36 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.65it/s] all 261 1002 0.975 0.942 0.973 0.727 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 193/199 7.02G 0.02301 0.005738 0.004472 30 416: 100% 43/43 [00:15<00:00, 2.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.69it/s] all 261 1002 0.972 0.945 0.972 0.729 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 194/199 7.02G 0.02474 0.006051 0.007502 13 416: 100% 43/43 [00:15<00:00, 2.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.64it/s] all 261 1002 0.972 0.947 0.971 0.731 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 195/199 7.02G 0.02046 0.005552 0.003294 39 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.67it/s] all 261 1002 0.976 0.943 0.972 0.724 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 196/199 7.02G 0.0225 0.00602 0.003723 50 416: 100% 43/43 [00:15<00:00, 2.81it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.67it/s] all 261 1002 0.978 0.945 0.972 0.728 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 197/199 7.02G 0.02205 0.00574 0.004446 36 416: 100% 43/43 [00:15<00:00, 2.86it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.73it/s] all 261 1002 0.977 0.946 0.972 0.728 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 198/199 7.02G 0.02205 0.005994 0.004988 57 416: 100% 43/43 [00:15<00:00, 2.86it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.66it/s] all 261 1002 0.979 0.947 0.972 0.726 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 199/199 7.02G 0.02111 0.00571 0.004043 63 416: 100% 43/43 [00:15<00:00, 2.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:03<00:00, 2.71it/s] all 261 1002 0.979 0.947 0.973 0.739 200 epochs completed in 1.115 hours. Optimizer stripped from runs/train/exp/weights/last.pt, 123.5MB Optimizer stripped from runs/train/exp/weights/best.pt, 123.5MB Validating runs/train/exp/weights/best.pt... Fusing layers... Model summary: 190 layers, 61535125 parameters, 0 gradients, 154.7 GFLOPs Class Images Instances P R mAP50 mAP50-95: 100% 9/9 [00:06<00:00, 1.34it/s] all 261 1002 0.978 0.947 0.973 0.739 car 261 372 0.983 0.953 0.985 0.72 pickup 261 241 0.971 0.971 0.987 0.746 camping 261 129 0.968 0.943 0.972 0.795 truck 261 68 0.961 1 0.994 0.814 other 261 45 0.976 0.908 0.955 0.704 tractor 261 40 0.994 0.925 0.926 0.639 boat 261 75 0.981 0.907 0.967 0.706 van 261 32 0.994 0.969 0.992 0.787 Results saved to runs/train/exp
In [19]:
p_yol3 = 0.978
r_yol3 = 0.947
mAP_yolo3 = 0.973
In [20]:
storeResults('YoloV3',p_yol3,r_yol3,mAP_yolo3)
In [29]:
# dislaying metrics for train data
from IPython.display import Image
from IPython.display import display
x = Image(filename='/content/yolov3/runs/train/exp/F1_curve.png')
y = Image(filename='/content/yolov3/runs/train/exp/PR_curve.png')
z = Image(filename='/content/yolov3/runs/train/exp/confusion_matrix.png')
display(x, y,z)
YoloV4¶
In [33]:
!python train.py --img 512 --batch 32 --epochs 200 --data /content/drive/MyDrive/16/yolo/data.yaml --weights yolov3-tiny.pt
train: weights=yolov3-tiny.pt, cfg=, data=/content/drive/MyDrive/16/yolo/data.yaml, hyp=data/hyps/hyp.scratch-low.yaml, epochs=200, batch_size=32, imgsz=512, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, noplots=False, evolve=None, bucket=, cache=None, image_weights=False, device=, multi_scale=False, single_cls=False, optimizer=SGD, sync_bn=False, workers=8, project=runs/train, name=exp, exist_ok=False, quad=False, cos_lr=False, label_smoothing=0.0, patience=100, freeze=[0], save_period=-1, seed=0, local_rank=-1, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest github: ⚠️ YOLOv3 is out of date by 2710 commits. Use 'git pull ultralytics master' or 'git clone https://github.com/ultralytics/yolov5' to update. YOLOv3 🚀 v9.6.0-115-g814fd8d5 Python-3.10.12 torch-2.0.1+cu118 CUDA:0 (Tesla T4, 15102MiB) hyperparameters: lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=0.05, cls=0.5, cls_pw=1.0, obj=1.0, obj_pw=1.0, iou_t=0.2, anchor_t=4.0, fl_gamma=0.0, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0 Comet: run 'pip install comet_ml' to automatically track and visualize YOLOv3 🚀 runs in Comet TensorBoard: Start with 'tensorboard --logdir runs/train', view at http://localhost:6006/ Overriding model.yaml nc=80 with nc=8 from n params module arguments 0 -1 1 464 models.common.Conv [3, 16, 3, 1] 1 -1 1 0 torch.nn.modules.pooling.MaxPool2d [2, 2, 0] 2 -1 1 4672 models.common.Conv [16, 32, 3, 1] 3 -1 1 0 torch.nn.modules.pooling.MaxPool2d [2, 2, 0] 4 -1 1 18560 models.common.Conv [32, 64, 3, 1] 5 -1 1 0 torch.nn.modules.pooling.MaxPool2d [2, 2, 0] 6 -1 1 73984 models.common.Conv [64, 128, 3, 1] 7 -1 1 0 torch.nn.modules.pooling.MaxPool2d [2, 2, 0] 8 -1 1 295424 models.common.Conv [128, 256, 3, 1] 9 -1 1 0 torch.nn.modules.pooling.MaxPool2d [2, 2, 0] 10 -1 1 1180672 models.common.Conv [256, 512, 3, 1] 11 -1 1 0 torch.nn.modules.padding.ZeroPad2d [[0, 1, 0, 1]] 12 -1 1 0 torch.nn.modules.pooling.MaxPool2d [2, 1, 0] 13 -1 1 4720640 models.common.Conv [512, 1024, 3, 1] 14 -1 1 262656 models.common.Conv [1024, 256, 1, 1] 15 -1 1 1180672 models.common.Conv [256, 512, 3, 1] 16 -2 1 33024 models.common.Conv [256, 128, 1, 1] 17 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] 18 [-1, 8] 1 0 models.common.Concat [1] 19 -1 1 885248 models.common.Conv [384, 256, 3, 1] 20 [19, 15] 1 30030 models.yolo.Detect [8, [[10, 14, 23, 27, 37, 58], [81, 82, 135, 169, 344, 319]], [256, 512]] Model summary: 49 layers, 8686046 parameters, 8686046 gradients, 13.0 GFLOPs Transferred 67/71 items from yolov3-tiny.pt AMP: checks passed ✅ optimizer: SGD(lr=0.01) with parameter groups 11 weight(decay=0.0), 13 weight(decay=0.0005), 13 bias albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8)) train: Scanning /content/drive/MyDrive/16/yolo/train/labels.cache... 691 images, 11 backgrounds, 10 corrupt: 100% 691/691 [00:00<?, ?it/s] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000033.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0004] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000044.png: ignoring corrupt image/label: negative label values [ -0.0036738] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000111.png: ignoring corrupt image/label: negative label values [-5.7568e-05] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000219.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0015] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000281.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0083] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000338.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0045] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000463.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.001] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000484.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0029] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000550.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0095] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000614.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0007] val: Scanning /content/drive/MyDrive/16/yolo/valid/labels.cache... 265 images, 9 backgrounds, 4 corrupt: 100% 265/265 [00:00<?, ?it/s] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000033.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0004] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000044.png: ignoring corrupt image/label: negative label values [ -0.0036738] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000111.png: ignoring corrupt image/label: negative label values [-5.7568e-05] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000219.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0015] AutoAnchor: 2.64 anchors/target, 0.999 Best Possible Recall (BPR). Current anchors are a good fit to dataset ✅ Plotting labels to runs/train/exp2/labels.jpg... Image sizes 512 train, 512 val Using 8 dataloader workers Logging results to runs/train/exp2 Starting training for 200 epochs... Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 0/199 3.7G 0.1377 0.0426 0.05989 39 512: 100% 22/22 [00:06<00:00, 3.29it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:01<00:00, 2.83it/s] all 261 1002 0.00111 0.0414 0.000661 0.000136 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 1/199 4.91G 0.1254 0.03762 0.05299 25 512: 100% 22/22 [00:04<00:00, 5.16it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:01<00:00, 2.84it/s] all 261 1002 0.00419 0.267 0.0055 0.00117 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 2/199 4.91G 0.1118 0.04179 0.05032 23 512: 100% 22/22 [00:05<00:00, 3.97it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:01<00:00, 2.51it/s] all 261 1002 0.169 0.0846 0.013 0.00297 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 3/199 4.91G 0.1076 0.04294 0.04886 30 512: 100% 22/22 [00:05<00:00, 4.32it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.45it/s] all 261 1002 0.27 0.115 0.0251 0.00792 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 4/199 4.91G 0.09749 0.04337 0.04646 50 512: 100% 22/22 [00:03<00:00, 5.59it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.45it/s] all 261 1002 0.275 0.132 0.0271 0.00656 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 5/199 4.91G 0.09499 0.04595 0.04664 38 512: 100% 22/22 [00:05<00:00, 4.15it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.45it/s] all 261 1002 0.166 0.176 0.0399 0.0106 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 6/199 4.91G 0.09224 0.04715 0.04558 37 512: 100% 22/22 [00:04<00:00, 4.56it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.40it/s] all 261 1002 0.469 0.153 0.0721 0.0214 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 7/199 4.91G 0.08862 0.04551 0.04324 31 512: 100% 22/22 [00:05<00:00, 4.23it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.41it/s] all 261 1002 0.246 0.197 0.0932 0.029 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 8/199 4.91G 0.08671 0.04534 0.04387 27 512: 100% 22/22 [00:03<00:00, 5.61it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.32it/s] all 261 1002 0.488 0.244 0.102 0.03 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 9/199 4.91G 0.08615 0.04495 0.04249 54 512: 100% 22/22 [00:04<00:00, 4.44it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.40it/s] all 261 1002 0.503 0.18 0.127 0.0415 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 10/199 4.91G 0.08532 0.04521 0.04032 56 512: 100% 22/22 [00:04<00:00, 4.65it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.42it/s] all 261 1002 0.429 0.21 0.134 0.0433 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 11/199 4.91G 0.08235 0.04322 0.04196 31 512: 100% 22/22 [00:05<00:00, 4.21it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:01<00:00, 2.55it/s] all 261 1002 0.294 0.207 0.115 0.0333 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 12/199 4.91G 0.08273 0.04401 0.0388 29 512: 100% 22/22 [00:04<00:00, 4.98it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:01<00:00, 2.52it/s] all 261 1002 0.457 0.193 0.134 0.0424 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 13/199 4.91G 0.08089 0.04432 0.03863 34 512: 100% 22/22 [00:05<00:00, 4.35it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:01<00:00, 2.53it/s] all 261 1002 0.265 0.23 0.116 0.0307 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 14/199 4.91G 0.07818 0.04207 0.03936 32 512: 100% 22/22 [00:04<00:00, 4.40it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.45it/s] all 261 1002 0.349 0.235 0.174 0.0627 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 15/199 4.91G 0.08 0.04304 0.03664 51 512: 100% 22/22 [00:05<00:00, 4.24it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.43it/s] all 261 1002 0.446 0.226 0.17 0.0574 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 16/199 4.91G 0.07834 0.04406 0.03764 53 512: 100% 22/22 [00:03<00:00, 5.88it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.37it/s] all 261 1002 0.498 0.254 0.177 0.0634 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 17/199 4.91G 0.07647 0.03894 0.03912 23 512: 100% 22/22 [00:04<00:00, 4.49it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.48it/s] all 261 1002 0.26 0.266 0.164 0.0534 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 18/199 4.91G 0.07678 0.04213 0.03691 26 512: 100% 22/22 [00:05<00:00, 4.21it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.42it/s] all 261 1002 0.289 0.271 0.154 0.0452 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 19/199 4.91G 0.07669 0.04069 0.037 29 512: 100% 22/22 [00:05<00:00, 4.24it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.39it/s] all 261 1002 0.325 0.294 0.199 0.0728 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 20/199 4.91G 0.07668 0.04158 0.03611 34 512: 100% 22/22 [00:04<00:00, 4.81it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:01<00:00, 2.53it/s] all 261 1002 0.304 0.191 0.152 0.0474 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 21/199 4.91G 0.07691 0.04223 0.03512 37 512: 100% 22/22 [00:05<00:00, 4.24it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.35it/s] all 261 1002 0.511 0.259 0.246 0.0957 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 22/199 4.91G 0.0761 0.04125 0.03458 72 512: 100% 22/22 [00:05<00:00, 4.11it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.43it/s] all 261 1002 0.312 0.354 0.232 0.0818 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 23/199 4.91G 0.07507 0.04259 0.0342 51 512: 100% 22/22 [00:04<00:00, 4.97it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.33it/s] all 261 1002 0.352 0.26 0.191 0.0656 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 24/199 4.91G 0.07358 0.0414 0.03418 25 512: 100% 22/22 [00:05<00:00, 4.24it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.37it/s] all 261 1002 0.611 0.27 0.248 0.0989 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 25/199 4.91G 0.07241 0.04018 0.03229 24 512: 100% 22/22 [00:04<00:00, 5.19it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.43it/s] all 261 1002 0.32 0.332 0.212 0.0708 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 26/199 4.91G 0.075 0.04274 0.03353 30 512: 100% 22/22 [00:05<00:00, 4.06it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.45it/s] all 261 1002 0.51 0.231 0.176 0.054 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 27/199 4.91G 0.0721 0.03903 0.03178 21 512: 100% 22/22 [00:04<00:00, 5.10it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.34it/s] all 261 1002 0.495 0.285 0.22 0.0774 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 28/199 4.91G 0.07107 0.04133 0.03427 26 512: 100% 22/22 [00:05<00:00, 4.01it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.43it/s] all 261 1002 0.347 0.303 0.238 0.0877 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 29/199 4.91G 0.07229 0.0378 0.0327 34 512: 100% 22/22 [00:04<00:00, 4.97it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.30it/s] all 261 1002 0.372 0.349 0.252 0.0998 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 30/199 4.91G 0.0722 0.04035 0.03381 32 512: 100% 22/22 [00:05<00:00, 4.35it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.45it/s] all 261 1002 0.538 0.314 0.3 0.115 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 31/199 4.91G 0.07136 0.03904 0.0329 20 512: 100% 22/22 [00:04<00:00, 5.24it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.40it/s] all 261 1002 0.428 0.315 0.236 0.0786 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 32/199 4.91G 0.07294 0.04046 0.034 55 512: 100% 22/22 [00:05<00:00, 3.86it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.43it/s] all 261 1002 0.459 0.358 0.275 0.101 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 33/199 4.91G 0.07211 0.03983 0.03331 37 512: 100% 22/22 [00:03<00:00, 5.65it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.39it/s] all 261 1002 0.398 0.354 0.269 0.108 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 34/199 4.91G 0.07197 0.03991 0.0325 32 512: 100% 22/22 [00:05<00:00, 3.90it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.42it/s] all 261 1002 0.389 0.353 0.284 0.113 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 35/199 4.91G 0.07124 0.03873 0.03121 13 512: 100% 22/22 [00:04<00:00, 4.43it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.41it/s] all 261 1002 0.506 0.274 0.193 0.0637 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 36/199 4.91G 0.07227 0.03959 0.03236 30 512: 100% 22/22 [00:05<00:00, 4.05it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:01<00:00, 2.50it/s] all 261 1002 0.416 0.343 0.256 0.089 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 37/199 4.91G 0.07079 0.0391 0.03337 29 512: 100% 22/22 [00:03<00:00, 5.92it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.38it/s] all 261 1002 0.512 0.366 0.33 0.136 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 38/199 4.91G 0.0719 0.03976 0.02979 57 512: 100% 22/22 [00:05<00:00, 4.05it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.38it/s] all 261 1002 0.371 0.283 0.214 0.0786 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 39/199 4.91G 0.06882 0.0379 0.03051 50 512: 100% 22/22 [00:05<00:00, 4.39it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.39it/s] all 261 1002 0.466 0.358 0.306 0.12 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 40/199 4.91G 0.06915 0.03913 0.03099 28 512: 100% 22/22 [00:05<00:00, 4.24it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.36it/s] all 261 1002 0.446 0.371 0.303 0.12 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 41/199 4.91G 0.07056 0.03826 0.03007 53 512: 100% 22/22 [00:04<00:00, 5.34it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.42it/s] all 261 1002 0.498 0.408 0.358 0.153 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 42/199 4.91G 0.0682 0.03898 0.029 28 512: 100% 22/22 [00:05<00:00, 4.34it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.34it/s] all 261 1002 0.536 0.404 0.363 0.151 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 43/199 4.91G 0.06794 0.03975 0.03056 27 512: 100% 22/22 [00:05<00:00, 4.25it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.39it/s] all 261 1002 0.574 0.392 0.366 0.146 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 44/199 4.91G 0.06653 0.03866 0.02946 46 512: 100% 22/22 [00:04<00:00, 4.45it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.34it/s] all 261 1002 0.517 0.395 0.351 0.145 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 45/199 4.91G 0.06575 0.03766 0.02876 33 512: 100% 22/22 [00:04<00:00, 5.16it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.36it/s] all 261 1002 0.561 0.414 0.389 0.164 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 46/199 4.91G 0.06581 0.03704 0.02781 44 512: 100% 22/22 [00:04<00:00, 4.81it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.46it/s] all 261 1002 0.375 0.267 0.208 0.068 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 47/199 4.91G 0.06845 0.03583 0.02894 17 512: 100% 22/22 [00:05<00:00, 3.98it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.42it/s] all 261 1002 0.519 0.38 0.353 0.133 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 48/199 4.91G 0.0695 0.03743 0.0277 31 512: 100% 22/22 [00:04<00:00, 4.66it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.36it/s] all 261 1002 0.529 0.407 0.409 0.166 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 49/199 4.91G 0.06769 0.03768 0.02914 37 512: 100% 22/22 [00:04<00:00, 5.13it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.41it/s] all 261 1002 0.45 0.409 0.337 0.135 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 50/199 4.91G 0.06871 0.03573 0.02716 30 512: 100% 22/22 [00:04<00:00, 4.50it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.35it/s] all 261 1002 0.555 0.489 0.446 0.185 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 51/199 4.91G 0.06626 0.03796 0.02794 46 512: 100% 22/22 [00:05<00:00, 4.26it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.49it/s] all 261 1002 0.419 0.329 0.254 0.086 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 52/199 4.91G 0.0665 0.03762 0.02743 52 512: 100% 22/22 [00:05<00:00, 4.26it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.30it/s] all 261 1002 0.532 0.401 0.369 0.151 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 53/199 4.91G 0.06733 0.03748 0.02721 55 512: 100% 22/22 [00:05<00:00, 4.36it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.47it/s] all 261 1002 0.45 0.384 0.311 0.111 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 54/199 4.91G 0.06744 0.03576 0.0277 29 512: 100% 22/22 [00:04<00:00, 4.50it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.41it/s] all 261 1002 0.536 0.389 0.379 0.135 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 55/199 4.91G 0.06688 0.03775 0.02774 55 512: 100% 22/22 [00:05<00:00, 3.99it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.39it/s] all 261 1002 0.527 0.425 0.402 0.174 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 56/199 4.91G 0.06499 0.03613 0.02629 39 512: 100% 22/22 [00:04<00:00, 4.79it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.39it/s] all 261 1002 0.628 0.356 0.403 0.161 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 57/199 4.91G 0.0638 0.03658 0.02632 34 512: 100% 22/22 [00:04<00:00, 5.06it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.35it/s] all 261 1002 0.507 0.394 0.376 0.136 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 58/199 4.91G 0.06645 0.03748 0.02524 59 512: 100% 22/22 [00:05<00:00, 4.28it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.48it/s] all 261 1002 0.454 0.45 0.358 0.136 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 59/199 4.91G 0.06559 0.03716 0.02648 32 512: 100% 22/22 [00:05<00:00, 4.21it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.43it/s] all 261 1002 0.489 0.388 0.345 0.12 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 60/199 4.91G 0.06446 0.03713 0.02579 34 512: 100% 22/22 [00:04<00:00, 4.54it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.40it/s] all 261 1002 0.547 0.416 0.416 0.171 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 61/199 4.91G 0.06376 0.03557 0.02466 52 512: 100% 22/22 [00:04<00:00, 5.44it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.37it/s] all 261 1002 0.586 0.43 0.448 0.177 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 62/199 4.91G 0.06278 0.03529 0.02573 25 512: 100% 22/22 [00:05<00:00, 3.97it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.38it/s] all 261 1002 0.541 0.465 0.442 0.187 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 63/199 4.91G 0.06273 0.03674 0.02433 36 512: 100% 22/22 [00:04<00:00, 4.99it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.38it/s] all 261 1002 0.545 0.455 0.45 0.201 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 64/199 4.91G 0.06441 0.03522 0.02439 39 512: 100% 22/22 [00:05<00:00, 4.31it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.43it/s] all 261 1002 0.513 0.39 0.366 0.139 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 65/199 4.91G 0.06473 0.03766 0.02446 64 512: 100% 22/22 [00:03<00:00, 5.93it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.40it/s] all 261 1002 0.556 0.399 0.399 0.161 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 66/199 4.91G 0.06597 0.03574 0.02583 27 512: 100% 22/22 [00:05<00:00, 3.87it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.39it/s] all 261 1002 0.626 0.408 0.444 0.183 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 67/199 4.91G 0.0655 0.03542 0.02438 33 512: 100% 22/22 [00:04<00:00, 4.55it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.43it/s] all 261 1002 0.595 0.43 0.438 0.181 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 68/199 4.91G 0.06391 0.03655 0.02484 36 512: 100% 22/22 [00:05<00:00, 4.07it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.45it/s] all 261 1002 0.554 0.423 0.424 0.169 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 69/199 4.91G 0.06412 0.03699 0.0227 31 512: 100% 22/22 [00:03<00:00, 5.94it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.46it/s] all 261 1002 0.428 0.379 0.303 0.101 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 70/199 4.91G 0.06247 0.03605 0.02292 44 512: 100% 22/22 [00:05<00:00, 3.97it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.48it/s] all 261 1002 0.539 0.453 0.447 0.177 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 71/199 4.91G 0.06406 0.0364 0.0231 22 512: 100% 22/22 [00:04<00:00, 4.47it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.42it/s] all 261 1002 0.593 0.46 0.484 0.201 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 72/199 4.91G 0.06405 0.03734 0.02419 35 512: 100% 22/22 [00:05<00:00, 4.12it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.41it/s] all 261 1002 0.575 0.441 0.424 0.15 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 73/199 4.91G 0.0623 0.03493 0.02494 44 512: 100% 22/22 [00:03<00:00, 5.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.38it/s] all 261 1002 0.594 0.449 0.467 0.18 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 74/199 4.91G 0.06182 0.03567 0.02292 69 512: 100% 22/22 [00:05<00:00, 3.94it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.38it/s] all 261 1002 0.61 0.471 0.51 0.206 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 75/199 4.91G 0.06112 0.03627 0.02338 41 512: 100% 22/22 [00:04<00:00, 4.65it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.45it/s] all 261 1002 0.552 0.414 0.409 0.146 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 76/199 4.91G 0.06389 0.03668 0.02365 40 512: 100% 22/22 [00:05<00:00, 4.14it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.37it/s] all 261 1002 0.602 0.471 0.505 0.198 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 77/199 4.91G 0.06063 0.03521 0.02181 40 512: 100% 22/22 [00:03<00:00, 5.65it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.39it/s] all 261 1002 0.604 0.445 0.477 0.186 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 78/199 4.91G 0.0642 0.03607 0.02142 47 512: 100% 22/22 [00:05<00:00, 4.12it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.37it/s] all 261 1002 0.495 0.407 0.401 0.153 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 79/199 4.91G 0.0597 0.03356 0.02188 29 512: 100% 22/22 [00:05<00:00, 4.11it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.34it/s] all 261 1002 0.668 0.48 0.554 0.233 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 80/199 4.91G 0.0613 0.03551 0.02175 24 512: 100% 22/22 [00:04<00:00, 5.16it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.36it/s] all 261 1002 0.606 0.472 0.508 0.21 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 81/199 4.91G 0.06308 0.03412 0.02344 30 512: 100% 22/22 [00:04<00:00, 5.15it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.43it/s] all 261 1002 0.494 0.433 0.393 0.144 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 82/199 4.91G 0.06396 0.03579 0.02361 43 512: 100% 22/22 [00:05<00:00, 4.35it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.35it/s] all 261 1002 0.468 0.392 0.363 0.129 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 83/199 4.91G 0.06139 0.03419 0.02289 23 512: 100% 22/22 [00:05<00:00, 3.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.41it/s] all 261 1002 0.669 0.453 0.487 0.193 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 84/199 4.91G 0.06056 0.03442 0.02159 44 512: 100% 22/22 [00:05<00:00, 4.13it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.35it/s] all 261 1002 0.716 0.523 0.603 0.276 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 85/199 4.91G 0.06168 0.03478 0.02202 59 512: 100% 22/22 [00:04<00:00, 4.90it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.39it/s] all 261 1002 0.631 0.481 0.543 0.214 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 86/199 4.91G 0.06315 0.03539 0.02136 35 512: 100% 22/22 [00:04<00:00, 4.77it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.33it/s] all 261 1002 0.582 0.413 0.45 0.181 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 87/199 4.91G 0.05943 0.03313 0.02188 25 512: 100% 22/22 [00:05<00:00, 3.90it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.37it/s] all 261 1002 0.734 0.465 0.582 0.252 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 88/199 4.91G 0.06116 0.03479 0.02184 37 512: 100% 22/22 [00:04<00:00, 4.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.34it/s] all 261 1002 0.628 0.482 0.54 0.233 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 89/199 4.91G 0.06236 0.03431 0.02172 32 512: 100% 22/22 [00:05<00:00, 4.39it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.39it/s] all 261 1002 0.598 0.397 0.448 0.181 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 90/199 4.91G 0.0578 0.03489 0.01983 31 512: 100% 22/22 [00:04<00:00, 4.74it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.33it/s] all 261 1002 0.609 0.46 0.522 0.206 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 91/199 4.91G 0.06062 0.03585 0.02228 38 512: 100% 22/22 [00:05<00:00, 3.87it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.46it/s] all 261 1002 0.619 0.394 0.476 0.174 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 92/199 4.91G 0.05759 0.03439 0.01974 26 512: 100% 22/22 [00:04<00:00, 4.64it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.33it/s] all 261 1002 0.718 0.553 0.647 0.295 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 93/199 4.91G 0.06192 0.03486 0.01949 39 512: 100% 22/22 [00:04<00:00, 5.02it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.41it/s] all 261 1002 0.652 0.538 0.6 0.23 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 94/199 4.91G 0.05788 0.0336 0.01863 53 512: 100% 22/22 [00:05<00:00, 4.19it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.46it/s] all 261 1002 0.641 0.433 0.501 0.187 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 95/199 4.91G 0.06112 0.03409 0.02006 39 512: 100% 22/22 [00:05<00:00, 3.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.39it/s] all 261 1002 0.606 0.516 0.568 0.241 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 96/199 4.91G 0.06139 0.03564 0.02256 47 512: 100% 22/22 [00:05<00:00, 4.40it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.44it/s] all 261 1002 0.699 0.415 0.53 0.22 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 97/199 4.91G 0.059 0.0337 0.01925 41 512: 100% 22/22 [00:04<00:00, 5.21it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.41it/s] all 261 1002 0.604 0.478 0.526 0.194 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 98/199 4.91G 0.06085 0.03291 0.02121 48 512: 100% 22/22 [00:05<00:00, 4.11it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.36it/s] all 261 1002 0.662 0.504 0.58 0.245 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 99/199 4.91G 0.05697 0.03261 0.01889 22 512: 100% 22/22 [00:05<00:00, 3.95it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.37it/s] all 261 1002 0.421 0.574 0.482 0.187 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 100/199 4.91G 0.05796 0.03522 0.01959 45 512: 100% 22/22 [00:05<00:00, 4.35it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.35it/s] all 261 1002 0.666 0.555 0.621 0.274 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 101/199 4.91G 0.05899 0.03435 0.01864 39 512: 100% 22/22 [00:03<00:00, 5.79it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.27it/s] all 261 1002 0.722 0.553 0.65 0.287 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 102/199 4.91G 0.05772 0.03225 0.01854 26 512: 100% 22/22 [00:05<00:00, 3.92it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.34it/s] all 261 1002 0.689 0.487 0.567 0.233 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 103/199 4.91G 0.05876 0.03629 0.02042 52 512: 100% 22/22 [00:05<00:00, 4.25it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.37it/s] all 261 1002 0.652 0.456 0.526 0.206 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 104/199 4.91G 0.05777 0.03427 0.01853 34 512: 100% 22/22 [00:05<00:00, 4.11it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.42it/s] all 261 1002 0.631 0.51 0.562 0.24 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 105/199 4.91G 0.05837 0.03444 0.01834 44 512: 100% 22/22 [00:03<00:00, 5.62it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.35it/s] all 261 1002 0.731 0.507 0.598 0.266 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 106/199 4.91G 0.06012 0.03433 0.01926 38 512: 100% 22/22 [00:05<00:00, 3.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.34it/s] all 261 1002 0.633 0.52 0.584 0.252 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 107/199 4.91G 0.05936 0.03342 0.02058 66 512: 100% 22/22 [00:04<00:00, 4.42it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.30it/s] all 261 1002 0.583 0.642 0.652 0.285 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 108/199 4.91G 0.05953 0.03261 0.01915 27 512: 100% 22/22 [00:05<00:00, 4.07it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.35it/s] all 261 1002 0.573 0.62 0.617 0.276 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 109/199 4.91G 0.05954 0.03338 0.01918 27 512: 100% 22/22 [00:03<00:00, 5.86it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.33it/s] all 261 1002 0.66 0.539 0.606 0.245 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 110/199 4.91G 0.05758 0.03338 0.01929 32 512: 100% 22/22 [00:05<00:00, 3.90it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.36it/s] all 261 1002 0.752 0.513 0.644 0.277 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 111/199 4.91G 0.0593 0.03317 0.01748 33 512: 100% 22/22 [00:05<00:00, 4.36it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.37it/s] all 261 1002 0.718 0.561 0.671 0.301 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 112/199 4.91G 0.05588 0.03337 0.01653 19 512: 100% 22/22 [00:05<00:00, 4.17it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.33it/s] all 261 1002 0.731 0.559 0.661 0.303 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 113/199 4.91G 0.05574 0.03484 0.01747 44 512: 100% 22/22 [00:03<00:00, 5.90it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.38it/s] all 261 1002 0.724 0.529 0.635 0.246 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 114/199 4.91G 0.0555 0.03347 0.01777 45 512: 100% 22/22 [00:06<00:00, 3.54it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.37it/s] all 261 1002 0.648 0.468 0.568 0.238 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 115/199 4.91G 0.05708 0.03388 0.01663 34 512: 100% 22/22 [00:05<00:00, 4.20it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.39it/s] all 261 1002 0.606 0.681 0.662 0.292 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 116/199 4.91G 0.0584 0.03415 0.01829 18 512: 100% 22/22 [00:05<00:00, 4.09it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.36it/s] all 261 1002 0.775 0.564 0.7 0.335 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 117/199 4.91G 0.05607 0.03345 0.01865 44 512: 100% 22/22 [00:03<00:00, 5.69it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.27it/s] all 261 1002 0.716 0.464 0.606 0.234 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 118/199 4.91G 0.05545 0.03334 0.0157 35 512: 100% 22/22 [00:05<00:00, 3.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.34it/s] all 261 1002 0.69 0.497 0.566 0.22 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 119/199 4.91G 0.05605 0.03264 0.01661 55 512: 100% 22/22 [00:05<00:00, 4.20it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.21it/s] all 261 1002 0.691 0.533 0.619 0.247 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 120/199 4.91G 0.05898 0.0311 0.01719 63 512: 100% 22/22 [00:04<00:00, 4.46it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.25it/s] all 261 1002 0.767 0.564 0.685 0.305 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 121/199 4.91G 0.05715 0.03278 0.01717 36 512: 100% 22/22 [00:04<00:00, 4.74it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.39it/s] all 261 1002 0.709 0.517 0.624 0.27 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 122/199 4.91G 0.05676 0.03137 0.01678 28 512: 100% 22/22 [00:05<00:00, 3.95it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.24it/s] all 261 1002 0.737 0.618 0.707 0.347 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 123/199 4.91G 0.05518 0.03133 0.01595 25 512: 100% 22/22 [00:04<00:00, 4.57it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.30it/s] all 261 1002 0.762 0.538 0.679 0.313 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 124/199 4.91G 0.05542 0.0331 0.017 45 512: 100% 22/22 [00:04<00:00, 4.63it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.33it/s] all 261 1002 0.74 0.595 0.699 0.317 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 125/199 4.91G 0.05727 0.03282 0.01804 48 512: 100% 22/22 [00:05<00:00, 4.30it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.31it/s] all 261 1002 0.655 0.667 0.711 0.359 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 126/199 4.91G 0.05537 0.03139 0.01692 8 512: 100% 22/22 [00:04<00:00, 4.52it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.28it/s] all 261 1002 0.7 0.583 0.68 0.31 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 127/199 4.91G 0.05493 0.03378 0.01501 32 512: 100% 22/22 [00:05<00:00, 4.24it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.37it/s] all 261 1002 0.715 0.665 0.719 0.336 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 128/199 4.91G 0.05732 0.03406 0.01637 36 512: 100% 22/22 [00:04<00:00, 4.72it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.34it/s] all 261 1002 0.76 0.544 0.679 0.297 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 129/199 4.91G 0.05625 0.03248 0.01577 36 512: 100% 22/22 [00:04<00:00, 4.48it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.33it/s] all 261 1002 0.693 0.595 0.672 0.283 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 130/199 4.91G 0.05538 0.0303 0.01508 33 512: 100% 22/22 [00:05<00:00, 4.40it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.34it/s] all 261 1002 0.695 0.612 0.693 0.323 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 131/199 4.91G 0.05648 0.03132 0.01531 69 512: 100% 22/22 [00:05<00:00, 4.03it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.38it/s] all 261 1002 0.594 0.653 0.639 0.269 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 132/199 4.91G 0.05755 0.03195 0.01604 44 512: 100% 22/22 [00:04<00:00, 5.02it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.38it/s] all 261 1002 0.648 0.664 0.698 0.32 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 133/199 4.91G 0.05491 0.0312 0.01486 22 512: 100% 22/22 [00:05<00:00, 4.33it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.36it/s] all 261 1002 0.717 0.612 0.701 0.317 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 134/199 4.91G 0.05484 0.03147 0.01521 35 512: 100% 22/22 [00:04<00:00, 4.51it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.31it/s] all 261 1002 0.726 0.575 0.682 0.292 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 135/199 4.91G 0.054 0.03146 0.0147 47 512: 100% 22/22 [00:05<00:00, 4.14it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.39it/s] all 261 1002 0.61 0.626 0.641 0.269 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 136/199 4.91G 0.05384 0.03287 0.01418 47 512: 100% 22/22 [00:04<00:00, 4.64it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.39it/s] all 261 1002 0.621 0.604 0.633 0.258 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 137/199 4.91G 0.05488 0.03314 0.01464 33 512: 100% 22/22 [00:04<00:00, 4.42it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.34it/s] all 261 1002 0.632 0.602 0.627 0.264 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 138/199 4.91G 0.05418 0.03185 0.01537 50 512: 100% 22/22 [00:04<00:00, 4.46it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.36it/s] all 261 1002 0.57 0.586 0.616 0.246 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 139/199 4.91G 0.05505 0.03288 0.01505 51 512: 100% 22/22 [00:05<00:00, 4.37it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.31it/s] all 261 1002 0.726 0.634 0.723 0.333 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 140/199 4.91G 0.05615 0.0327 0.01376 44 512: 100% 22/22 [00:05<00:00, 4.35it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.39it/s] all 261 1002 0.634 0.64 0.685 0.287 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 141/199 4.91G 0.05511 0.03153 0.01521 30 512: 100% 22/22 [00:04<00:00, 4.55it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.27it/s] all 261 1002 0.695 0.69 0.745 0.346 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 142/199 4.91G 0.05415 0.03379 0.01396 46 512: 100% 22/22 [00:05<00:00, 4.35it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.38it/s] all 261 1002 0.645 0.686 0.717 0.347 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 143/199 4.91G 0.05351 0.03119 0.01393 37 512: 100% 22/22 [00:05<00:00, 4.15it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.30it/s] all 261 1002 0.673 0.618 0.681 0.287 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 144/199 4.91G 0.05142 0.03084 0.01383 24 512: 100% 22/22 [00:04<00:00, 4.42it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.40it/s] all 261 1002 0.71 0.634 0.69 0.315 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 145/199 4.91G 0.0544 0.0321 0.01335 50 512: 100% 22/22 [00:05<00:00, 4.16it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.36it/s] all 261 1002 0.713 0.635 0.706 0.295 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 146/199 4.91G 0.05338 0.03178 0.01355 42 512: 100% 22/22 [00:04<00:00, 4.43it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.37it/s] all 261 1002 0.725 0.625 0.719 0.324 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 147/199 4.91G 0.05566 0.03314 0.01469 17 512: 100% 22/22 [00:05<00:00, 4.28it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.35it/s] all 261 1002 0.714 0.674 0.749 0.358 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 148/199 4.91G 0.05356 0.03169 0.01262 48 512: 100% 22/22 [00:05<00:00, 4.34it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.39it/s] all 261 1002 0.671 0.66 0.708 0.32 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 149/199 4.91G 0.05237 0.02986 0.0135 43 512: 100% 22/22 [00:04<00:00, 5.30it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.31it/s] all 261 1002 0.715 0.631 0.715 0.305 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 150/199 4.91G 0.05459 0.03364 0.0136 37 512: 100% 22/22 [00:05<00:00, 4.12it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.42it/s] all 261 1002 0.685 0.653 0.706 0.306 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 151/199 4.91G 0.05309 0.03281 0.01348 22 512: 100% 22/22 [00:05<00:00, 4.24it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.33it/s] all 261 1002 0.696 0.649 0.709 0.296 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 152/199 4.91G 0.05366 0.03181 0.01331 38 512: 100% 22/22 [00:05<00:00, 3.97it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.36it/s] all 261 1002 0.762 0.699 0.779 0.372 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 153/199 4.91G 0.05232 0.0323 0.01396 41 512: 100% 22/22 [00:03<00:00, 5.91it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.33it/s] all 261 1002 0.755 0.565 0.677 0.305 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 154/199 4.91G 0.05312 0.03211 0.01355 31 512: 100% 22/22 [00:05<00:00, 4.22it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.34it/s] all 261 1002 0.745 0.65 0.736 0.336 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 155/199 4.91G 0.05162 0.03108 0.0128 40 512: 100% 22/22 [00:05<00:00, 4.35it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.28it/s] all 261 1002 0.74 0.651 0.719 0.318 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 156/199 4.91G 0.05062 0.03069 0.01462 42 512: 100% 22/22 [00:05<00:00, 3.93it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.38it/s] all 261 1002 0.704 0.703 0.754 0.342 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 157/199 4.91G 0.05201 0.03075 0.01196 24 512: 100% 22/22 [00:04<00:00, 5.08it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.39it/s] all 261 1002 0.662 0.596 0.655 0.261 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 158/199 4.91G 0.05184 0.03204 0.01272 40 512: 100% 22/22 [00:05<00:00, 3.89it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.36it/s] all 261 1002 0.661 0.669 0.72 0.319 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 159/199 4.91G 0.05056 0.03155 0.0126 44 512: 100% 22/22 [00:05<00:00, 4.40it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.30it/s] all 261 1002 0.727 0.656 0.713 0.299 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 160/199 4.91G 0.04995 0.03104 0.01259 44 512: 100% 22/22 [00:05<00:00, 3.89it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.37it/s] all 261 1002 0.673 0.665 0.712 0.296 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 161/199 4.91G 0.05038 0.03195 0.01226 33 512: 100% 22/22 [00:04<00:00, 5.19it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.27it/s] all 261 1002 0.652 0.638 0.694 0.297 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 162/199 4.91G 0.04977 0.03073 0.01287 29 512: 100% 22/22 [00:05<00:00, 3.97it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.38it/s] all 261 1002 0.715 0.67 0.743 0.336 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 163/199 4.91G 0.05461 0.02999 0.01346 39 512: 100% 22/22 [00:04<00:00, 4.43it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.28it/s] all 261 1002 0.687 0.7 0.741 0.33 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 164/199 4.91G 0.05195 0.03196 0.01296 44 512: 100% 22/22 [00:05<00:00, 3.88it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.37it/s] all 261 1002 0.688 0.722 0.756 0.353 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 165/199 4.91G 0.05308 0.03118 0.01297 42 512: 100% 22/22 [00:04<00:00, 5.39it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.33it/s] all 261 1002 0.734 0.615 0.707 0.3 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 166/199 4.91G 0.05065 0.03038 0.01213 30 512: 100% 22/22 [00:05<00:00, 3.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.31it/s] all 261 1002 0.799 0.7 0.797 0.404 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 167/199 4.91G 0.05234 0.03063 0.01288 38 512: 100% 22/22 [00:04<00:00, 4.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.30it/s] all 261 1002 0.758 0.683 0.767 0.356 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 168/199 4.91G 0.05043 0.03102 0.01245 22 512: 100% 22/22 [00:05<00:00, 3.95it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.33it/s] all 261 1002 0.757 0.636 0.726 0.295 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 169/199 4.91G 0.05224 0.03253 0.01304 35 512: 100% 22/22 [00:04<00:00, 4.90it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.38it/s] all 261 1002 0.696 0.678 0.731 0.32 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 170/199 4.91G 0.04996 0.03061 0.01202 27 512: 100% 22/22 [00:05<00:00, 3.70it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.27it/s] all 261 1002 0.738 0.719 0.775 0.374 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 171/199 4.91G 0.05189 0.03117 0.01206 37 512: 100% 22/22 [00:04<00:00, 4.52it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.34it/s] all 261 1002 0.724 0.625 0.706 0.298 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 172/199 4.91G 0.04765 0.03122 0.01149 55 512: 100% 22/22 [00:05<00:00, 4.11it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.28it/s] all 261 1002 0.767 0.666 0.757 0.357 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 173/199 4.91G 0.05013 0.03115 0.01181 31 512: 100% 22/22 [00:04<00:00, 4.47it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.27it/s] all 261 1002 0.731 0.701 0.753 0.339 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 174/199 4.91G 0.05076 0.03034 0.0124 28 512: 100% 22/22 [00:05<00:00, 4.02it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.27it/s] all 261 1002 0.716 0.684 0.739 0.338 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 175/199 4.91G 0.05086 0.0316 0.01264 31 512: 100% 22/22 [00:05<00:00, 3.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.31it/s] all 261 1002 0.727 0.665 0.744 0.344 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 176/199 4.91G 0.04959 0.03088 0.01188 35 512: 100% 22/22 [00:05<00:00, 4.36it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.30it/s] all 261 1002 0.739 0.695 0.749 0.323 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 177/199 4.91G 0.04885 0.02971 0.01154 26 512: 100% 22/22 [00:04<00:00, 4.67it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.33it/s] all 261 1002 0.748 0.713 0.78 0.38 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 178/199 4.91G 0.05085 0.02976 0.01097 48 512: 100% 22/22 [00:05<00:00, 4.00it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.25it/s] all 261 1002 0.777 0.71 0.785 0.395 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 179/199 4.91G 0.04991 0.02999 0.01187 23 512: 100% 22/22 [00:05<00:00, 4.23it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.30it/s] all 261 1002 0.793 0.706 0.794 0.396 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 180/199 4.91G 0.04974 0.03078 0.01202 27 512: 100% 22/22 [00:04<00:00, 4.45it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.28it/s] all 261 1002 0.766 0.677 0.762 0.36 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 181/199 4.91G 0.05106 0.03046 0.01188 47 512: 100% 22/22 [00:04<00:00, 4.47it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.34it/s] all 261 1002 0.779 0.665 0.741 0.324 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 182/199 4.91G 0.05002 0.03076 0.01178 38 512: 100% 22/22 [00:05<00:00, 4.20it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.29it/s] all 261 1002 0.776 0.709 0.776 0.364 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 183/199 4.91G 0.04742 0.02892 0.01156 28 512: 100% 22/22 [00:05<00:00, 4.35it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.31it/s] all 261 1002 0.766 0.709 0.784 0.376 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 184/199 4.91G 0.05079 0.0308 0.01159 32 512: 100% 22/22 [00:05<00:00, 4.36it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.31it/s] all 261 1002 0.801 0.717 0.8 0.393 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 185/199 4.91G 0.04999 0.03003 0.01108 23 512: 100% 22/22 [00:05<00:00, 4.21it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.29it/s] all 261 1002 0.77 0.682 0.766 0.354 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 186/199 4.91G 0.04908 0.03145 0.01167 34 512: 100% 22/22 [00:05<00:00, 4.33it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.30it/s] all 261 1002 0.731 0.64 0.725 0.307 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 187/199 4.91G 0.0476 0.03033 0.01119 29 512: 100% 22/22 [00:05<00:00, 4.06it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.26it/s] all 261 1002 0.782 0.762 0.821 0.435 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 188/199 4.91G 0.04939 0.03136 0.01206 75 512: 100% 22/22 [00:04<00:00, 5.10it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.31it/s] all 261 1002 0.749 0.696 0.76 0.337 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 189/199 4.91G 0.0509 0.03209 0.01125 43 512: 100% 22/22 [00:05<00:00, 4.24it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.35it/s] all 261 1002 0.806 0.69 0.776 0.351 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 190/199 4.91G 0.05063 0.03051 0.01099 37 512: 100% 22/22 [00:05<00:00, 4.40it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.31it/s] all 261 1002 0.811 0.728 0.806 0.397 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 191/199 4.91G 0.04871 0.03127 0.01081 27 512: 100% 22/22 [00:05<00:00, 3.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.34it/s] all 261 1002 0.758 0.701 0.764 0.335 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 192/199 4.91G 0.04806 0.03107 0.01097 55 512: 100% 22/22 [00:05<00:00, 4.38it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.35it/s] all 261 1002 0.741 0.69 0.747 0.328 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 193/199 4.91G 0.04727 0.03154 0.01106 43 512: 100% 22/22 [00:05<00:00, 4.32it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.31it/s] all 261 1002 0.824 0.709 0.801 0.392 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 194/199 4.91G 0.04723 0.03041 0.009458 39 512: 100% 22/22 [00:04<00:00, 4.86it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.31it/s] all 261 1002 0.779 0.667 0.763 0.34 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 195/199 4.91G 0.04696 0.02947 0.01005 37 512: 100% 22/22 [00:05<00:00, 3.80it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.36it/s] all 261 1002 0.815 0.685 0.788 0.371 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 196/199 4.91G 0.04693 0.02982 0.01185 34 512: 100% 22/22 [00:05<00:00, 4.36it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.34it/s] all 261 1002 0.798 0.687 0.781 0.362 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 197/199 4.91G 0.04683 0.0295 0.0106 33 512: 100% 22/22 [00:04<00:00, 4.99it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.36it/s] all 261 1002 0.792 0.686 0.78 0.355 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 198/199 4.91G 0.04741 0.03009 0.01045 24 512: 100% 22/22 [00:05<00:00, 4.37it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.33it/s] all 261 1002 0.775 0.687 0.774 0.357 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 199/199 4.91G 0.04522 0.03095 0.00989 37 512: 100% 22/22 [00:05<00:00, 3.87it/s] Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:02<00:00, 2.36it/s] all 261 1002 0.773 0.693 0.772 0.36 200 epochs completed in 0.414 hours. Optimizer stripped from runs/train/exp2/weights/last.pt, 17.5MB Optimizer stripped from runs/train/exp2/weights/best.pt, 17.5MB Validating runs/train/exp2/weights/best.pt... Fusing layers... Model summary: 38 layers, 8682862 parameters, 0 gradients, 12.9 GFLOPs Class Images Instances P R mAP50 mAP50-95: 100% 5/5 [00:06<00:00, 1.23s/it] all 261 1002 0.778 0.768 0.821 0.434 car 261 372 0.862 0.788 0.884 0.451 pickup 261 241 0.723 0.859 0.885 0.481 camping 261 129 0.809 0.852 0.879 0.502 truck 261 68 0.737 0.897 0.923 0.477 other 261 45 0.693 0.801 0.778 0.41 tractor 261 40 0.819 0.725 0.782 0.34 boat 261 75 0.641 0.72 0.716 0.394 van 261 32 0.942 0.504 0.721 0.42 Results saved to runs/train/exp2
In [8]:
p_yol4 = 0.778
r_yol4 = 0.768
mAP_yolo4 = 0.821
In [21]:
storeResults('YoloV4',p_yol4,r_yol4,mAP_yolo4)
In [44]:
# dislaying metrics for train data
from IPython.display import Image
from IPython.display import display
x = Image(filename='/content/yolov3/runs/train/exp2/F1_curve.png')
y = Image(filename='/content/yolov3/runs/train/exp2/PR_curve.png')
z = Image(filename='/content/yolov3/runs/train/exp2/confusion_matrix.png')
display(x, y,z)
SuperYolo¶
In [4]:
!git clone https://github.com/icey-zhang/SuperYOLO
Cloning into 'SuperYOLO'... remote: Enumerating objects: 456, done. remote: Counting objects: 100% (139/139), done. remote: Compressing objects: 100% (106/106), done. remote: Total 456 (delta 87), reused 32 (delta 32), pack-reused 317 Receiving objects: 100% (456/456), 16.93 MiB | 54.36 MiB/s, done. Resolving deltas: 100% (225/225), done.
In [5]:
%cd /content/SuperYOLO/
/content/SuperYOLO
In [6]:
!pip install -r requirements.txt
Requirement already satisfied: matplotlib>=3.2.2 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 4)) (3.7.1)
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Collecting thop==0.0.31.post2005241907 (from -r requirements.txt (line 28))
Downloading thop-0.0.31.post2005241907-py3-none-any.whl (8.7 kB)
Requirement already satisfied: pycocotools>=2.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 29)) (2.0.7)
Collecting xlsxwriter>=3.0.1 (from -r requirements.txt (line 32))
Downloading XlsxWriter-3.1.7-py3-none-any.whl (154 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 154.5/154.5 kB 3.2 MB/s eta 0:00:00
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Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.10/dist-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<1.1,>=0.5->tensorboard>=2.4.1->-r requirements.txt (line 15)) (3.2.2)
Installing collected packages: xlsxwriter, thop
Successfully installed thop-0.0.31.post2005241907 xlsxwriter-3.1.7
In [7]:
!pip install timm
Collecting timm
Downloading timm-0.9.7-py3-none-any.whl (2.2 MB)
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In [42]:
!python train.py --cfg models/SRyolo_noFocus_small.yaml --train_img_size 512 --data data/SRvedai.yaml --ch 3 --input_mode RGB
train: weights=yolov5s.pt, cfg=, data=/content/drive/MyDrive/16/yolo/data.yaml, hyp=data/hyps/hyp.scratch-low.yaml, epochs=200, batch_size=2, imgsz=416, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, noplots=False, evolve=None, bucket=, cache=ram, image_weights=False, device=, multi_scale=False, single_cls=False, optimizer=SGD, sync_bn=False, workers=2, project=runs/train, name=exp, exist_ok=False, quad=False, cos_lr=False, label_smoothing=0.0, patience=100, freeze=[0], save_period=-1, seed=0, local_rank=-1, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest github: up to date with https://github.com/ultralytics/yolov5 ✅ YOLOv5 🚀 v7.0-226-gdd9e338 Python-3.10.12 torch-2.0.1+cu118 CUDA:0 (Tesla T4, 15102MiB) hyperparameters: lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=0.05, cls=0.5, cls_pw=1.0, obj=1.0, obj_pw=1.0, iou_t=0.2, anchor_t=4.0, fl_gamma=0.0, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0 Comet: run 'pip install comet_ml' to automatically track and visualize YOLOv5 🚀 runs in Comet TensorBoard: Start with 'tensorboard --logdir runs/train', view at http://localhost:6006/ Downloading https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov5s.pt to yolov5s.pt... 100% 14.1M/14.1M [00:00<00:00, 99.5MB/s] Overriding model.yaml nc=80 with nc=8 from n params module arguments 0 -1 1 3520 models.common.Conv [3, 32, 6, 2, 2] 1 -1 1 18560 models.common.Conv [32, 64, 3, 2] 2 -1 1 18816 models.common.C3 [64, 64, 1] 3 -1 1 73984 models.common.Conv [64, 128, 3, 2] 4 -1 2 115712 models.common.C3 [128, 128, 2] 5 -1 1 295424 models.common.Conv [128, 256, 3, 2] 6 -1 3 625152 models.common.C3 [256, 256, 3] 7 -1 1 1180672 models.common.Conv [256, 512, 3, 2] 8 -1 1 1182720 models.common.C3 [512, 512, 1] 9 -1 1 656896 models.common.SPPF [512, 512, 5] 10 -1 1 131584 models.common.Conv [512, 256, 1, 1] 11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] 12 [-1, 6] 1 0 models.common.Concat [1] 13 -1 1 361984 models.common.C3 [512, 256, 1, False] 14 -1 1 33024 models.common.Conv [256, 128, 1, 1] 15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] 16 [-1, 4] 1 0 models.common.Concat [1] 17 -1 1 90880 models.common.C3 [256, 128, 1, False] 18 -1 1 147712 models.common.Conv [128, 128, 3, 2] 19 [-1, 14] 1 0 models.common.Concat [1] 20 -1 1 296448 models.common.C3 [256, 256, 1, False] 21 -1 1 590336 models.common.Conv [256, 256, 3, 2] 22 [-1, 10] 1 0 models.common.Concat [1] 23 -1 1 1182720 models.common.C3 [512, 512, 1, False] 24 [17, 20, 23] 1 35061 models.yolo.Detect [8, [[10, 13, 16, 30, 33, 23], [30, 61, 62, 45, 59, 119], [116, 90, 156, 198, 373, 326]], [128, 256, 512]] Model summary: 214 layers, 7041205 parameters, 7041205 gradients, 16.0 GFLOPs Transferred 343/349 items from yolov5s.pt AMP: checks passed ✅ optimizer: SGD(lr=0.01) with parameter groups 57 weight(decay=0.0), 60 weight(decay=0.0005), 60 bias albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8)) train: Scanning /content/drive/MyDrive/16/yolo/train/labels... 696 images, 11 backgrounds, 10 corrupt: 100% 696/696 [00:17<00:00, 38.87it/s] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000033.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0004] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000044.png: ignoring corrupt image/label: negative label values [ -0.0036738] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000111.png: ignoring corrupt image/label: negative label values [-5.7568e-05] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000219.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0015] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000281.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0083] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000338.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0045] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000463.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.001] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000484.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0029] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000550.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0095] train: WARNING ⚠️ /content/drive/MyDrive/16/yolo/train/images/00000614.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0007] train: New cache created: /content/drive/MyDrive/16/yolo/train/labels.cache train: Caching images (0.3GB ram): 100% 686/686 [00:01<00:00, 541.33it/s] val: Scanning /content/drive/MyDrive/16/yolo/valid/labels.cache... 265 images, 9 backgrounds, 4 corrupt: 100% 265/265 [00:00<?, ?it/s] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000033.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0004] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000044.png: ignoring corrupt image/label: negative label values [ -0.0036738] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000111.png: ignoring corrupt image/label: negative label values [-5.7568e-05] val: WARNING ⚠️ /content/drive/MyDrive/16/yolo/valid/images/00000219.png: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0015] val: Caching images (0.1GB ram): 100% 261/261 [00:00<00:00, 349.82it/s] AutoAnchor: 3.42 anchors/target, 1.000 Best Possible Recall (BPR). Current anchors are a good fit to dataset ✅ Plotting labels to runs/train/exp/labels.jpg... Image sizes 416 train, 416 val Using 2 dataloader workers Logging results to runs/train/exp Starting training for 200 epochs... Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 0/199 0.459G 0.08384 0.01314 0.03799 5 416: 100% 343/343 [00:18<00:00, 18.20it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.62it/s] all 261 1002 0.000223 0.0176 0.000161 4.16e-05 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 1/199 0.459G 0.06754 0.01549 0.03358 7 416: 100% 343/343 [00:15<00:00, 22.56it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.07it/s] all 261 1002 0.512 0.0386 0.0126 0.00329 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 2/199 0.459G 0.0579 0.01457 0.03228 11 416: 100% 343/343 [00:15<00:00, 22.59it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.50it/s] all 261 1002 0.4 0.056 0.0243 0.00575 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 3/199 0.459G 0.05134 0.0137 0.03107 5 416: 100% 343/343 [00:14<00:00, 23.02it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.98it/s] all 261 1002 0.392 0.0856 0.013 0.00294 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 4/199 0.459G 0.04831 0.01333 0.03137 12 416: 100% 343/343 [00:15<00:00, 22.67it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.23it/s] all 261 1002 0.497 0.164 0.0986 0.0286 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 5/199 0.459G 0.04338 0.01432 0.03089 7 416: 100% 343/343 [00:14<00:00, 23.08it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.86it/s] all 261 1002 0.512 0.209 0.133 0.0473 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 6/199 0.461G 0.04189 0.01389 0.03146 3 416: 100% 343/343 [00:15<00:00, 22.69it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.70it/s] all 261 1002 0.687 0.219 0.168 0.0661 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 7/199 0.461G 0.04046 0.01339 0.03057 9 416: 100% 343/343 [00:15<00:00, 22.53it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.49it/s] all 261 1002 0.672 0.236 0.166 0.0655 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 8/199 0.461G 0.03648 0.01278 0.02873 2 416: 100% 343/343 [00:14<00:00, 22.89it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.61it/s] all 261 1002 0.66 0.251 0.185 0.0728 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 9/199 0.461G 0.03692 0.01283 0.0296 4 416: 100% 343/343 [00:14<00:00, 23.24it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.04it/s] all 261 1002 0.655 0.244 0.179 0.0763 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 10/199 0.461G 0.03716 0.01248 0.02927 17 416: 100% 343/343 [00:15<00:00, 22.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.12it/s] all 261 1002 0.67 0.241 0.197 0.0906 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 11/199 0.461G 0.03705 0.01228 0.02892 10 416: 100% 343/343 [00:15<00:00, 22.69it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.75it/s] all 261 1002 0.656 0.226 0.182 0.0679 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 12/199 0.461G 0.03637 0.01241 0.02841 8 416: 100% 343/343 [00:14<00:00, 22.94it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.24it/s] all 261 1002 0.421 0.267 0.185 0.0713 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 13/199 0.461G 0.03563 0.01206 0.02749 2 416: 100% 343/343 [00:14<00:00, 22.90it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.16it/s] all 261 1002 0.566 0.267 0.21 0.0965 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 14/199 0.461G 0.03558 0.01228 0.02638 8 416: 100% 343/343 [00:14<00:00, 23.08it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.28it/s] all 261 1002 0.587 0.282 0.231 0.103 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 15/199 0.461G 0.03726 0.01249 0.02716 8 416: 100% 343/343 [00:15<00:00, 22.80it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.48it/s] all 261 1002 0.451 0.302 0.231 0.104 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 16/199 0.461G 0.03437 0.01181 0.02523 7 416: 100% 343/343 [00:14<00:00, 23.09it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.86it/s] all 261 1002 0.444 0.283 0.213 0.0854 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 17/199 0.461G 0.03694 0.01215 0.02641 4 416: 100% 343/343 [00:15<00:00, 22.48it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.07it/s] all 261 1002 0.459 0.307 0.224 0.0934 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 18/199 0.461G 0.03536 0.01188 0.02624 9 416: 100% 343/343 [00:14<00:00, 22.88it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.69it/s] all 261 1002 0.473 0.316 0.251 0.12 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 19/199 0.461G 0.03395 0.01189 0.02496 9 416: 100% 343/343 [00:14<00:00, 23.06it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.13it/s] all 261 1002 0.437 0.282 0.237 0.098 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 20/199 0.461G 0.03363 0.01209 0.02408 13 416: 100% 343/343 [00:14<00:00, 22.93it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.81it/s] all 261 1002 0.488 0.32 0.244 0.117 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 21/199 0.461G 0.03459 0.0125 0.02609 3 416: 100% 343/343 [00:14<00:00, 22.95it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.61it/s] all 261 1002 0.523 0.309 0.266 0.129 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 22/199 0.461G 0.034 0.0118 0.02494 4 416: 100% 343/343 [00:15<00:00, 22.40it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.67it/s] all 261 1002 0.518 0.293 0.266 0.121 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 23/199 0.461G 0.0338 0.01178 0.02432 4 416: 100% 343/343 [00:15<00:00, 22.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.70it/s] all 261 1002 0.499 0.326 0.269 0.127 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 24/199 0.461G 0.03353 0.01174 0.02474 8 416: 100% 343/343 [00:14<00:00, 23.11it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.77it/s] all 261 1002 0.497 0.332 0.278 0.134 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 25/199 0.461G 0.03304 0.01146 0.02395 6 416: 100% 343/343 [00:14<00:00, 23.21it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.40it/s] all 261 1002 0.329 0.379 0.271 0.127 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 26/199 0.461G 0.03223 0.01188 0.02356 9 416: 100% 343/343 [00:14<00:00, 22.91it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.28it/s] all 261 1002 0.345 0.373 0.273 0.128 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 27/199 0.461G 0.03292 0.01148 0.02382 6 416: 100% 343/343 [00:14<00:00, 23.21it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.25it/s] all 261 1002 0.386 0.406 0.296 0.14 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 28/199 0.461G 0.03275 0.01124 0.02305 12 416: 100% 343/343 [00:14<00:00, 23.23it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.90it/s] all 261 1002 0.368 0.389 0.296 0.137 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 29/199 0.461G 0.03291 0.01134 0.02382 15 416: 100% 343/343 [00:14<00:00, 22.91it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.32it/s] all 261 1002 0.361 0.402 0.299 0.139 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 30/199 0.461G 0.03307 0.01137 0.02344 13 416: 100% 343/343 [00:14<00:00, 23.04it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.43it/s] all 261 1002 0.373 0.409 0.315 0.159 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 31/199 0.461G 0.03163 0.01139 0.02278 14 416: 100% 343/343 [00:15<00:00, 22.56it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.11it/s] all 261 1002 0.368 0.395 0.295 0.138 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 32/199 0.461G 0.03325 0.01102 0.02266 5 416: 100% 343/343 [00:14<00:00, 23.01it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.59it/s] all 261 1002 0.492 0.343 0.298 0.144 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 33/199 0.461G 0.03117 0.011 0.02185 9 416: 100% 343/343 [00:14<00:00, 23.23it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.67it/s] all 261 1002 0.486 0.377 0.295 0.149 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 34/199 0.461G 0.03165 0.01061 0.02276 14 416: 100% 343/343 [00:15<00:00, 22.73it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.04it/s] all 261 1002 0.494 0.357 0.304 0.146 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 35/199 0.461G 0.03084 0.01122 0.02146 16 416: 100% 343/343 [00:14<00:00, 23.39it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.32it/s] all 261 1002 0.503 0.393 0.331 0.162 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 36/199 0.461G 0.03247 0.01167 0.02288 2 416: 100% 343/343 [00:14<00:00, 22.99it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.80it/s] all 261 1002 0.423 0.434 0.361 0.178 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 37/199 0.461G 0.03123 0.01108 0.02251 5 416: 100% 343/343 [00:15<00:00, 22.18it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.55it/s] all 261 1002 0.524 0.434 0.349 0.177 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 38/199 0.461G 0.03109 0.01106 0.02198 2 416: 100% 343/343 [00:14<00:00, 23.12it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.27it/s] all 261 1002 0.528 0.401 0.355 0.173 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 39/199 0.461G 0.03159 0.01087 0.02209 8 416: 100% 343/343 [00:14<00:00, 22.94it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.98it/s] all 261 1002 0.411 0.466 0.362 0.177 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 40/199 0.461G 0.03057 0.01121 0.0215 16 416: 100% 343/343 [00:15<00:00, 22.53it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.30it/s] all 261 1002 0.402 0.435 0.352 0.175 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 41/199 0.461G 0.03004 0.01101 0.02064 5 416: 100% 343/343 [00:14<00:00, 23.13it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.81it/s] all 261 1002 0.535 0.411 0.357 0.183 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 42/199 0.461G 0.03102 0.01094 0.02124 5 416: 100% 343/343 [00:15<00:00, 22.81it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.14it/s] all 261 1002 0.546 0.432 0.346 0.17 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 43/199 0.461G 0.03077 0.01108 0.02118 1 416: 100% 343/343 [00:15<00:00, 22.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.40it/s] all 261 1002 0.42 0.458 0.373 0.189 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 44/199 0.461G 0.03098 0.01088 0.02125 7 416: 100% 343/343 [00:15<00:00, 22.71it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.32it/s] all 261 1002 0.453 0.468 0.373 0.198 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 45/199 0.461G 0.03047 0.01088 0.0212 11 416: 100% 343/343 [00:15<00:00, 22.73it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.10it/s] all 261 1002 0.421 0.452 0.378 0.188 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 46/199 0.461G 0.02975 0.01081 0.02086 5 416: 100% 343/343 [00:14<00:00, 23.35it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.98it/s] all 261 1002 0.443 0.468 0.389 0.196 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 47/199 0.461G 0.02997 0.0113 0.02079 5 416: 100% 343/343 [00:14<00:00, 22.93it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.36it/s] all 261 1002 0.46 0.481 0.399 0.196 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 48/199 0.461G 0.02915 0.01086 0.02043 8 416: 100% 343/343 [00:14<00:00, 23.16it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.24it/s] all 261 1002 0.467 0.501 0.402 0.208 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 49/199 0.461G 0.03014 0.01059 0.02056 6 416: 100% 343/343 [00:15<00:00, 22.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.40it/s] all 261 1002 0.463 0.469 0.411 0.214 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 50/199 0.461G 0.0315 0.01077 0.02156 14 416: 100% 343/343 [00:14<00:00, 23.24it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.38it/s] all 261 1002 0.427 0.508 0.411 0.214 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 51/199 0.461G 0.02991 0.01067 0.0206 13 416: 100% 343/343 [00:15<00:00, 22.80it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.19it/s] all 261 1002 0.438 0.473 0.388 0.199 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 52/199 0.461G 0.02999 0.01074 0.0202 14 416: 100% 343/343 [00:14<00:00, 22.98it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.06it/s] all 261 1002 0.442 0.535 0.421 0.21 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 53/199 0.461G 0.02865 0.01011 0.01963 14 416: 100% 343/343 [00:14<00:00, 23.29it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.77it/s] all 261 1002 0.468 0.476 0.42 0.216 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 54/199 0.461G 0.02842 0.01043 0.01983 4 416: 100% 343/343 [00:15<00:00, 22.68it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.47it/s] all 261 1002 0.53 0.432 0.435 0.228 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 55/199 0.461G 0.02916 0.01073 0.02008 1 416: 100% 343/343 [00:15<00:00, 22.61it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.66it/s] all 261 1002 0.456 0.479 0.429 0.215 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 56/199 0.461G 0.02968 0.01094 0.0204 8 416: 100% 343/343 [00:15<00:00, 22.67it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.18it/s] all 261 1002 0.693 0.396 0.426 0.212 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 57/199 0.461G 0.02885 0.01052 0.02007 0 416: 100% 343/343 [00:14<00:00, 23.05it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.99it/s] all 261 1002 0.455 0.523 0.457 0.24 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 58/199 0.461G 0.02869 0.01023 0.01936 17 416: 100% 343/343 [00:15<00:00, 22.71it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.45it/s] all 261 1002 0.47 0.507 0.465 0.242 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 59/199 0.461G 0.02892 0.01008 0.01979 3 416: 100% 343/343 [00:15<00:00, 21.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.57it/s] all 261 1002 0.47 0.465 0.464 0.238 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 60/199 0.461G 0.0288 0.01064 0.01908 0 416: 100% 343/343 [00:15<00:00, 22.42it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.35it/s] all 261 1002 0.486 0.463 0.446 0.234 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 61/199 0.461G 0.03039 0.01078 0.01925 16 416: 100% 343/343 [00:15<00:00, 22.35it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.62it/s] all 261 1002 0.49 0.497 0.46 0.241 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 62/199 0.461G 0.02858 0.01035 0.01864 4 416: 100% 343/343 [00:15<00:00, 22.53it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.28it/s] all 261 1002 0.549 0.419 0.469 0.243 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 63/199 0.461G 0.02783 0.01033 0.01832 14 416: 100% 343/343 [00:14<00:00, 22.99it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.54it/s] all 261 1002 0.601 0.465 0.469 0.238 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 64/199 0.461G 0.0284 0.01013 0.0185 11 416: 100% 343/343 [00:15<00:00, 22.03it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.33it/s] all 261 1002 0.527 0.477 0.48 0.254 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 65/199 0.461G 0.02946 0.01095 0.01863 5 416: 100% 343/343 [00:15<00:00, 22.68it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.85it/s] all 261 1002 0.666 0.399 0.444 0.232 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 66/199 0.461G 0.02807 0.01039 0.01807 7 416: 100% 343/343 [00:14<00:00, 22.93it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.81it/s] all 261 1002 0.698 0.471 0.489 0.251 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 67/199 0.461G 0.02786 0.01035 0.01794 21 416: 100% 343/343 [00:14<00:00, 23.12it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.92it/s] all 261 1002 0.554 0.497 0.496 0.251 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 68/199 0.461G 0.02825 0.01012 0.01762 13 416: 100% 343/343 [00:15<00:00, 22.86it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.13it/s] all 261 1002 0.7 0.448 0.519 0.273 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 69/199 0.461G 0.028 0.01037 0.01846 11 416: 100% 343/343 [00:14<00:00, 22.97it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.76it/s] all 261 1002 0.538 0.529 0.494 0.249 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 70/199 0.461G 0.02886 0.01014 0.01786 9 416: 100% 343/343 [00:15<00:00, 22.48it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.16it/s] all 261 1002 0.655 0.48 0.498 0.239 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 71/199 0.461G 0.02951 0.01133 0.01811 6 416: 100% 343/343 [00:15<00:00, 22.60it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.28it/s] all 261 1002 0.702 0.448 0.522 0.266 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 72/199 0.461G 0.02889 0.01075 0.01775 3 416: 100% 343/343 [00:14<00:00, 23.08it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.99it/s] all 261 1002 0.63 0.522 0.544 0.287 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 73/199 0.461G 0.02765 0.01019 0.01852 8 416: 100% 343/343 [00:15<00:00, 22.00it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.56it/s] all 261 1002 0.595 0.557 0.549 0.281 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 74/199 0.461G 0.02792 0.01062 0.01765 4 416: 100% 343/343 [00:14<00:00, 23.05it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.35it/s] all 261 1002 0.684 0.477 0.554 0.292 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 75/199 0.461G 0.02825 0.01064 0.01741 4 416: 100% 343/343 [00:14<00:00, 23.14it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.51it/s] all 261 1002 0.542 0.588 0.545 0.287 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 76/199 0.461G 0.02899 0.01035 0.01762 15 416: 100% 343/343 [00:14<00:00, 23.13it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.75it/s] all 261 1002 0.701 0.472 0.539 0.281 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 77/199 0.461G 0.02815 0.009561 0.01785 25 416: 100% 343/343 [00:15<00:00, 22.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.55it/s] all 261 1002 0.726 0.467 0.542 0.285 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 78/199 0.461G 0.02869 0.01097 0.01692 4 416: 100% 343/343 [00:14<00:00, 22.94it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.60it/s] all 261 1002 0.62 0.529 0.532 0.279 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 79/199 0.461G 0.02949 0.01068 0.018 4 416: 100% 343/343 [00:15<00:00, 22.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.86it/s] all 261 1002 0.564 0.539 0.501 0.261 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 80/199 0.461G 0.02835 0.01059 0.01777 3 416: 100% 343/343 [00:15<00:00, 22.50it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.08it/s] all 261 1002 0.582 0.559 0.564 0.289 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 81/199 0.461G 0.02869 0.01079 0.01805 27 416: 100% 343/343 [00:14<00:00, 23.14it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.54it/s] all 261 1002 0.72 0.507 0.575 0.304 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 82/199 0.461G 0.02724 0.01016 0.01539 17 416: 100% 343/343 [00:14<00:00, 23.24it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.91it/s] all 261 1002 0.687 0.509 0.57 0.29 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 83/199 0.461G 0.02775 0.01008 0.0157 15 416: 100% 343/343 [00:14<00:00, 23.13it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.27it/s] all 261 1002 0.633 0.564 0.582 0.311 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 84/199 0.461G 0.02712 0.01044 0.01568 7 416: 100% 343/343 [00:14<00:00, 23.49it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.92it/s] all 261 1002 0.682 0.522 0.583 0.307 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 85/199 0.461G 0.02818 0.01023 0.01653 8 416: 100% 343/343 [00:14<00:00, 23.24it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.97it/s] all 261 1002 0.73 0.484 0.587 0.305 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 86/199 0.461G 0.02798 0.01017 0.01664 12 416: 100% 343/343 [00:14<00:00, 23.17it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.98it/s] all 261 1002 0.616 0.586 0.607 0.318 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 87/199 0.461G 0.02736 0.01015 0.01733 2 416: 100% 343/343 [00:15<00:00, 22.25it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.87it/s] all 261 1002 0.712 0.522 0.587 0.312 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 88/199 0.461G 0.02767 0.01037 0.01503 11 416: 100% 343/343 [00:14<00:00, 23.40it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.11it/s] all 261 1002 0.679 0.553 0.596 0.306 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 89/199 0.461G 0.02785 0.009975 0.01678 2 416: 100% 343/343 [00:15<00:00, 21.93it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.80it/s] all 261 1002 0.6 0.58 0.581 0.314 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 90/199 0.461G 0.02821 0.0105 0.0162 28 416: 100% 343/343 [00:14<00:00, 23.67it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.44it/s] all 261 1002 0.619 0.573 0.595 0.324 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 91/199 0.461G 0.02792 0.01016 0.01603 6 416: 100% 343/343 [00:14<00:00, 23.34it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.15it/s] all 261 1002 0.631 0.575 0.59 0.316 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 92/199 0.461G 0.0281 0.01067 0.01674 12 416: 100% 343/343 [00:15<00:00, 22.12it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.33it/s] all 261 1002 0.695 0.538 0.595 0.309 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 93/199 0.461G 0.02727 0.009719 0.01582 1 416: 100% 343/343 [00:14<00:00, 23.13it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.86it/s] all 261 1002 0.668 0.586 0.605 0.317 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 94/199 0.461G 0.02774 0.009921 0.01521 8 416: 100% 343/343 [00:14<00:00, 22.97it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.56it/s] all 261 1002 0.667 0.562 0.612 0.317 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 95/199 0.461G 0.02786 0.01 0.01476 2 416: 100% 343/343 [00:14<00:00, 22.97it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.58it/s] all 261 1002 0.682 0.552 0.603 0.32 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 96/199 0.461G 0.02725 0.00986 0.01412 3 416: 100% 343/343 [00:14<00:00, 22.93it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.32it/s] all 261 1002 0.729 0.544 0.622 0.328 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 97/199 0.461G 0.02644 0.009688 0.01361 3 416: 100% 343/343 [00:14<00:00, 23.53it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.17it/s] all 261 1002 0.7 0.585 0.632 0.335 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 98/199 0.461G 0.02724 0.009949 0.01439 28 416: 100% 343/343 [00:14<00:00, 23.21it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.35it/s] all 261 1002 0.702 0.57 0.638 0.32 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 99/199 0.461G 0.02719 0.009782 0.01466 9 416: 100% 343/343 [00:14<00:00, 23.16it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.35it/s] all 261 1002 0.763 0.539 0.646 0.34 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 100/199 0.461G 0.02719 0.009962 0.01448 5 416: 100% 343/343 [00:15<00:00, 22.81it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.80it/s] all 261 1002 0.693 0.568 0.635 0.339 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 101/199 0.461G 0.02684 0.009896 0.01445 5 416: 100% 343/343 [00:14<00:00, 23.27it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.76it/s] all 261 1002 0.784 0.527 0.627 0.323 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 102/199 0.461G 0.02561 0.009096 0.01376 6 416: 100% 343/343 [00:14<00:00, 23.48it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.99it/s] all 261 1002 0.71 0.593 0.655 0.356 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 103/199 0.461G 0.02709 0.009671 0.01542 6 416: 100% 343/343 [00:14<00:00, 23.18it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.12it/s] all 261 1002 0.719 0.566 0.656 0.335 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 104/199 0.461G 0.02698 0.01005 0.01474 17 416: 100% 343/343 [00:14<00:00, 23.81it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.40it/s] all 261 1002 0.721 0.557 0.65 0.346 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 105/199 0.461G 0.02599 0.009558 0.01368 11 416: 100% 343/343 [00:14<00:00, 23.16it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.24it/s] all 261 1002 0.759 0.53 0.651 0.339 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 106/199 0.461G 0.02682 0.009874 0.0147 22 416: 100% 343/343 [00:14<00:00, 23.11it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.69it/s] all 261 1002 0.78 0.533 0.66 0.353 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 107/199 0.461G 0.02628 0.009594 0.01373 1 416: 100% 343/343 [00:14<00:00, 23.11it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.19it/s] all 261 1002 0.754 0.543 0.658 0.348 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 108/199 0.461G 0.02592 0.0095 0.01374 2 416: 100% 343/343 [00:14<00:00, 23.14it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.32it/s] all 261 1002 0.712 0.582 0.68 0.372 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 109/199 0.461G 0.02589 0.009247 0.01326 5 416: 100% 343/343 [00:14<00:00, 23.31it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.22it/s] all 261 1002 0.715 0.575 0.67 0.356 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 110/199 0.461G 0.02579 0.009316 0.01407 9 416: 100% 343/343 [00:14<00:00, 22.87it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.62it/s] all 261 1002 0.701 0.579 0.664 0.366 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 111/199 0.461G 0.0267 0.01026 0.01428 7 416: 100% 343/343 [00:14<00:00, 23.14it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.29it/s] all 261 1002 0.758 0.535 0.654 0.361 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 112/199 0.461G 0.02657 0.009708 0.01387 11 416: 100% 343/343 [00:15<00:00, 22.56it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.20it/s] all 261 1002 0.755 0.581 0.669 0.364 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 113/199 0.461G 0.02618 0.009627 0.01298 15 416: 100% 343/343 [00:14<00:00, 23.01it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.28it/s] all 261 1002 0.78 0.545 0.659 0.357 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 114/199 0.461G 0.02582 0.01013 0.01318 0 416: 100% 343/343 [00:14<00:00, 23.28it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.48it/s] all 261 1002 0.804 0.547 0.69 0.376 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 115/199 0.461G 0.0259 0.009711 0.01357 5 416: 100% 343/343 [00:15<00:00, 22.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.37it/s] all 261 1002 0.782 0.567 0.694 0.385 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 116/199 0.461G 0.02628 0.009846 0.01181 15 416: 100% 343/343 [00:15<00:00, 22.85it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.80it/s] all 261 1002 0.753 0.603 0.699 0.379 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 117/199 0.461G 0.02701 0.009539 0.01313 4 416: 100% 343/343 [00:14<00:00, 23.28it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.78it/s] all 261 1002 0.746 0.598 0.702 0.384 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 118/199 0.461G 0.02614 0.009457 0.01255 3 416: 100% 343/343 [00:15<00:00, 22.80it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.71it/s] all 261 1002 0.769 0.603 0.703 0.393 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 119/199 0.461G 0.02596 0.009383 0.01334 10 416: 100% 343/343 [00:14<00:00, 23.51it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.98it/s] all 261 1002 0.77 0.586 0.716 0.403 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 120/199 0.461G 0.02597 0.009578 0.01285 5 416: 100% 343/343 [00:15<00:00, 22.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.54it/s] all 261 1002 0.812 0.58 0.734 0.405 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 121/199 0.461G 0.02579 0.009463 0.013 13 416: 100% 343/343 [00:14<00:00, 23.26it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.62it/s] all 261 1002 0.757 0.618 0.711 0.396 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 122/199 0.461G 0.02605 0.009096 0.01261 4 416: 100% 343/343 [00:14<00:00, 23.21it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.08it/s] all 261 1002 0.821 0.595 0.714 0.399 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 123/199 0.461G 0.02715 0.009864 0.01288 12 416: 100% 343/343 [00:14<00:00, 23.05it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.65it/s] all 261 1002 0.732 0.645 0.714 0.386 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 124/199 0.461G 0.02519 0.008915 0.01149 4 416: 100% 343/343 [00:14<00:00, 23.04it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.89it/s] all 261 1002 0.758 0.646 0.742 0.408 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 125/199 0.461G 0.0258 0.009728 0.01246 3 416: 100% 343/343 [00:15<00:00, 22.40it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.42it/s] all 261 1002 0.748 0.654 0.73 0.401 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 126/199 0.461G 0.02625 0.00963 0.01246 10 416: 100% 343/343 [00:15<00:00, 22.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.47it/s] all 261 1002 0.767 0.635 0.728 0.404 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 127/199 0.461G 0.02623 0.009482 0.01316 4 416: 100% 343/343 [00:14<00:00, 23.29it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.29it/s] all 261 1002 0.761 0.656 0.731 0.415 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 128/199 0.461G 0.026 0.00933 0.01256 23 416: 100% 343/343 [00:15<00:00, 22.79it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.00it/s] all 261 1002 0.777 0.635 0.735 0.41 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 129/199 0.461G 0.02613 0.01017 0.01287 3 416: 100% 343/343 [00:15<00:00, 22.65it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.04it/s] all 261 1002 0.795 0.608 0.745 0.414 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 130/199 0.461G 0.02574 0.009364 0.01152 12 416: 100% 343/343 [00:15<00:00, 22.59it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.35it/s] all 261 1002 0.76 0.62 0.732 0.412 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 131/199 0.461G 0.02592 0.009094 0.01151 5 416: 100% 343/343 [00:14<00:00, 23.14it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.98it/s] all 261 1002 0.82 0.579 0.729 0.41 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 132/199 0.461G 0.02498 0.00923 0.01147 4 416: 100% 343/343 [00:14<00:00, 23.34it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.64it/s] all 261 1002 0.781 0.598 0.723 0.396 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 133/199 0.461G 0.02492 0.009415 0.01143 11 416: 100% 343/343 [00:14<00:00, 23.46it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.64it/s] all 261 1002 0.815 0.588 0.749 0.416 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 134/199 0.461G 0.02516 0.009721 0.01092 9 416: 100% 343/343 [00:15<00:00, 22.53it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.45it/s] all 261 1002 0.771 0.609 0.752 0.418 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 135/199 0.461G 0.02454 0.008904 0.01114 3 416: 100% 343/343 [00:15<00:00, 22.82it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.27it/s] all 261 1002 0.819 0.608 0.762 0.43 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 136/199 0.461G 0.02519 0.00951 0.01068 9 416: 100% 343/343 [00:14<00:00, 23.14it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.38it/s] all 261 1002 0.774 0.641 0.758 0.423 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 137/199 0.461G 0.02502 0.009687 0.01032 4 416: 100% 343/343 [00:14<00:00, 23.50it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.13it/s] all 261 1002 0.775 0.633 0.744 0.43 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 138/199 0.461G 0.02488 0.009134 0.01015 14 416: 100% 343/343 [00:14<00:00, 23.44it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.68it/s] all 261 1002 0.825 0.644 0.757 0.424 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 139/199 0.461G 0.02494 0.009017 0.0105 6 416: 100% 343/343 [00:14<00:00, 23.06it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.95it/s] all 261 1002 0.859 0.617 0.765 0.436 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 140/199 0.461G 0.02505 0.008846 0.01038 15 416: 100% 343/343 [00:15<00:00, 22.81it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.62it/s] all 261 1002 0.848 0.629 0.771 0.437 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 141/199 0.461G 0.02421 0.008546 0.01112 17 416: 100% 343/343 [00:15<00:00, 22.83it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.45it/s] all 261 1002 0.84 0.634 0.783 0.445 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 142/199 0.461G 0.02508 0.00917 0.01091 7 416: 100% 343/343 [00:15<00:00, 22.84it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.15it/s] all 261 1002 0.841 0.618 0.785 0.44 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 143/199 0.461G 0.02533 0.009275 0.01085 17 416: 100% 343/343 [00:15<00:00, 22.58it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 25.58it/s] all 261 1002 0.825 0.659 0.808 0.454 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 144/199 0.461G 0.02534 0.009572 0.01101 8 416: 100% 343/343 [00:15<00:00, 22.30it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.69it/s] all 261 1002 0.837 0.653 0.802 0.463 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 145/199 0.461G 0.02451 0.00914 0.01041 1 416: 100% 343/343 [00:15<00:00, 22.74it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.61it/s] all 261 1002 0.799 0.676 0.797 0.447 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 146/199 0.461G 0.0241 0.008985 0.009774 11 416: 100% 343/343 [00:14<00:00, 23.64it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.79it/s] all 261 1002 0.802 0.677 0.791 0.461 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 147/199 0.461G 0.0243 0.009297 0.009976 5 416: 100% 343/343 [00:14<00:00, 22.89it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.32it/s] all 261 1002 0.83 0.631 0.792 0.464 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 148/199 0.461G 0.02443 0.009367 0.01047 1 416: 100% 343/343 [00:14<00:00, 23.23it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.48it/s] all 261 1002 0.821 0.647 0.789 0.448 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 149/199 0.461G 0.02526 0.009512 0.01057 3 416: 100% 343/343 [00:14<00:00, 23.50it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.84it/s] all 261 1002 0.813 0.653 0.782 0.449 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 150/199 0.461G 0.02452 0.008916 0.009801 9 416: 100% 343/343 [00:14<00:00, 23.25it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.23it/s] all 261 1002 0.68 0.771 0.8 0.45 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 151/199 0.461G 0.02371 0.009136 0.009215 13 416: 100% 343/343 [00:14<00:00, 23.97it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.85it/s] all 261 1002 0.777 0.704 0.802 0.458 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 152/199 0.461G 0.02362 0.009112 0.009754 4 416: 100% 343/343 [00:14<00:00, 23.53it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.29it/s] all 261 1002 0.663 0.754 0.798 0.457 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 153/199 0.461G 0.02389 0.00923 0.009805 3 416: 100% 343/343 [00:14<00:00, 23.78it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.49it/s] all 261 1002 0.695 0.756 0.8 0.459 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 154/199 0.461G 0.02423 0.008704 0.009502 5 416: 100% 343/343 [00:14<00:00, 23.50it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.98it/s] all 261 1002 0.717 0.744 0.808 0.457 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 155/199 0.461G 0.02414 0.009199 0.00968 14 416: 100% 343/343 [00:14<00:00, 23.54it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.25it/s] all 261 1002 0.717 0.758 0.81 0.468 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 156/199 0.461G 0.02431 0.008831 0.01001 20 416: 100% 343/343 [00:14<00:00, 23.75it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.36it/s] all 261 1002 0.776 0.718 0.816 0.478 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 157/199 0.461G 0.02408 0.008454 0.009509 10 416: 100% 343/343 [00:14<00:00, 23.48it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.69it/s] all 261 1002 0.747 0.731 0.811 0.457 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 158/199 0.461G 0.02362 0.009264 0.01014 17 416: 100% 343/343 [00:14<00:00, 23.54it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.96it/s] all 261 1002 0.856 0.677 0.815 0.468 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 159/199 0.461G 0.02393 0.008879 0.009229 19 416: 100% 343/343 [00:14<00:00, 22.95it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.33it/s] all 261 1002 0.841 0.68 0.811 0.461 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 160/199 0.461G 0.02408 0.009364 0.00935 5 416: 100% 343/343 [00:15<00:00, 22.82it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 28.18it/s] all 261 1002 0.799 0.702 0.806 0.467 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 161/199 0.461G 0.02356 0.008599 0.00914 13 416: 100% 343/343 [00:14<00:00, 23.08it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.40it/s] all 261 1002 0.661 0.771 0.798 0.455 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 162/199 0.461G 0.02299 0.008586 0.009166 0 416: 100% 343/343 [00:14<00:00, 22.97it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.55it/s] all 261 1002 0.713 0.756 0.811 0.472 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 163/199 0.461G 0.02299 0.008251 0.008717 4 416: 100% 343/343 [00:15<00:00, 22.67it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.47it/s] all 261 1002 0.739 0.775 0.818 0.471 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 164/199 0.461G 0.0241 0.009261 0.008917 15 416: 100% 343/343 [00:14<00:00, 23.08it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.66it/s] all 261 1002 0.702 0.791 0.819 0.473 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 165/199 0.461G 0.02321 0.008618 0.008779 10 416: 100% 343/343 [00:14<00:00, 23.10it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.19it/s] all 261 1002 0.713 0.783 0.822 0.474 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 166/199 0.461G 0.02285 0.008584 0.008458 5 416: 100% 343/343 [00:14<00:00, 23.37it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 28.47it/s] all 261 1002 0.737 0.759 0.817 0.473 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 167/199 0.461G 0.02336 0.008796 0.008691 11 416: 100% 343/343 [00:14<00:00, 23.67it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 28.00it/s] all 261 1002 0.74 0.761 0.82 0.485 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 168/199 0.461G 0.02356 0.009001 0.008946 9 416: 100% 343/343 [00:14<00:00, 23.05it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.85it/s] all 261 1002 0.743 0.783 0.823 0.481 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 169/199 0.461G 0.02293 0.008359 0.008561 1 416: 100% 343/343 [00:14<00:00, 23.58it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.19it/s] all 261 1002 0.724 0.751 0.813 0.477 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 170/199 0.461G 0.02345 0.009044 0.008607 1 416: 100% 343/343 [00:14<00:00, 23.33it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.53it/s] all 261 1002 0.701 0.785 0.835 0.497 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 171/199 0.461G 0.02272 0.008712 0.008965 20 416: 100% 343/343 [00:14<00:00, 23.42it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.86it/s] all 261 1002 0.811 0.716 0.822 0.489 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 172/199 0.461G 0.02323 0.008823 0.008277 7 416: 100% 343/343 [00:15<00:00, 22.81it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.58it/s] all 261 1002 0.755 0.739 0.821 0.482 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 173/199 0.461G 0.02299 0.008365 0.008146 3 416: 100% 343/343 [00:14<00:00, 23.76it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.15it/s] all 261 1002 0.858 0.681 0.813 0.48 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 174/199 0.461G 0.02317 0.008508 0.00813 10 416: 100% 343/343 [00:15<00:00, 22.74it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.45it/s] all 261 1002 0.769 0.759 0.833 0.499 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 175/199 0.461G 0.02312 0.008895 0.008371 3 416: 100% 343/343 [00:14<00:00, 23.27it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.01it/s] all 261 1002 0.773 0.728 0.822 0.48 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 176/199 0.461G 0.02316 0.008523 0.00853 9 416: 100% 343/343 [00:14<00:00, 23.65it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.05it/s] all 261 1002 0.773 0.759 0.829 0.486 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 177/199 0.461G 0.02235 0.00807 0.008027 13 416: 100% 343/343 [00:15<00:00, 22.65it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.77it/s] all 261 1002 0.796 0.747 0.843 0.489 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 178/199 0.461G 0.02303 0.008652 0.008288 13 416: 100% 343/343 [00:14<00:00, 23.53it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.69it/s] all 261 1002 0.808 0.727 0.837 0.497 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 179/199 0.461G 0.02256 0.008575 0.00837 32 416: 100% 343/343 [00:14<00:00, 23.41it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.12it/s] all 261 1002 0.781 0.755 0.849 0.499 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 180/199 0.461G 0.0224 0.00845 0.007507 4 416: 100% 343/343 [00:14<00:00, 23.15it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.28it/s] all 261 1002 0.751 0.75 0.837 0.491 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 181/199 0.461G 0.02298 0.008716 0.007906 12 416: 100% 343/343 [00:14<00:00, 23.46it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.90it/s] all 261 1002 0.773 0.755 0.839 0.495 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 182/199 0.461G 0.02244 0.008537 0.007459 1 416: 100% 343/343 [00:14<00:00, 23.20it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.51it/s] all 261 1002 0.817 0.751 0.843 0.495 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 183/199 0.461G 0.02275 0.00848 0.007902 1 416: 100% 343/343 [00:14<00:00, 23.50it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.31it/s] all 261 1002 0.823 0.745 0.846 0.499 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 184/199 0.461G 0.02233 0.008729 0.007337 7 416: 100% 343/343 [00:15<00:00, 22.73it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.12it/s] all 261 1002 0.812 0.766 0.857 0.508 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 185/199 0.461G 0.02235 0.008302 0.008541 4 416: 100% 343/343 [00:14<00:00, 23.49it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.27it/s] all 261 1002 0.784 0.761 0.849 0.5 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 186/199 0.461G 0.02259 0.008327 0.007722 4 416: 100% 343/343 [00:15<00:00, 22.56it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.66it/s] all 261 1002 0.776 0.784 0.856 0.513 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 187/199 0.461G 0.02189 0.00876 0.007802 22 416: 100% 343/343 [00:14<00:00, 23.51it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.70it/s] all 261 1002 0.774 0.78 0.857 0.516 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 188/199 0.461G 0.02235 0.008538 0.007651 17 416: 100% 343/343 [00:14<00:00, 23.13it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.77it/s] all 261 1002 0.843 0.735 0.856 0.516 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 189/199 0.461G 0.02226 0.008254 0.007729 9 416: 100% 343/343 [00:14<00:00, 22.95it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 28.09it/s] all 261 1002 0.758 0.792 0.864 0.514 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 190/199 0.461G 0.02238 0.00864 0.007827 12 416: 100% 343/343 [00:14<00:00, 23.66it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.81it/s] all 261 1002 0.74 0.793 0.866 0.52 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 191/199 0.461G 0.02194 0.008527 0.007173 1 416: 100% 343/343 [00:14<00:00, 23.34it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.24it/s] all 261 1002 0.757 0.804 0.869 0.529 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 192/199 0.461G 0.02199 0.008258 0.007556 5 416: 100% 343/343 [00:14<00:00, 23.70it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.37it/s] all 261 1002 0.773 0.796 0.866 0.525 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 193/199 0.461G 0.02144 0.008478 0.007098 2 416: 100% 343/343 [00:14<00:00, 23.38it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.77it/s] all 261 1002 0.737 0.792 0.854 0.511 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 194/199 0.461G 0.02104 0.008048 0.006818 6 416: 100% 343/343 [00:15<00:00, 22.62it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.47it/s] all 261 1002 0.759 0.794 0.86 0.512 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 195/199 0.461G 0.0214 0.008361 0.007231 6 416: 100% 343/343 [00:14<00:00, 23.42it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.95it/s] all 261 1002 0.767 0.802 0.867 0.524 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 196/199 0.461G 0.02165 0.008488 0.006953 9 416: 100% 343/343 [00:14<00:00, 23.65it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.67it/s] all 261 1002 0.777 0.785 0.865 0.522 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 197/199 0.461G 0.0213 0.008227 0.006881 16 416: 100% 343/343 [00:14<00:00, 23.33it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 26.49it/s] all 261 1002 0.805 0.797 0.87 0.531 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 198/199 0.461G 0.0209 0.007752 0.00704 11 416: 100% 343/343 [00:14<00:00, 23.30it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.44it/s] all 261 1002 0.794 0.792 0.869 0.527 Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 199/199 0.461G 0.02156 0.00834 0.006615 11 416: 100% 343/343 [00:14<00:00, 22.98it/s] Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:02<00:00, 27.58it/s] all 261 1002 0.783 0.791 0.867 0.522 200 epochs completed in 0.987 hours. Optimizer stripped from runs/train/exp/weights/last.pt, 14.4MB Optimizer stripped from runs/train/exp/weights/best.pt, 14.4MB Validating runs/train/exp/weights/best.pt... Fusing layers... Model summary: 157 layers, 7031701 parameters, 0 gradients, 15.8 GFLOPs Class Images Instances P R mAP50 mAP50-95: 100% 66/66 [00:03<00:00, 18.51it/s] all 261 1002 0.805 0.797 0.87 0.53 car 261 372 0.849 0.858 0.919 0.519 pickup 261 241 0.751 0.884 0.904 0.558 camping 261 129 0.785 0.961 0.948 0.627 truck 261 68 0.647 0.941 0.941 0.626 other 261 45 0.774 0.756 0.839 0.491 tractor 261 40 0.925 0.8 0.886 0.464 boat 261 75 0.713 0.76 0.82 0.489 van 261 32 1 0.419 0.701 0.467 Results saved to runs/train/exp
In [9]:
p_yolsup = 0.805
r_yolsup = 0.797
mAP_yolosup = 0.87
In [22]:
storeResults('Super Yolo',p_yolsup,r_yolsup,mAP_yolosup)
In [45]:
# dislaying metrics for train data
from IPython.display import Image
from IPython.display import display
x = Image(filename='runs/train/exp/F1_curve.png')
y = Image(filename='runs/train/exp/PR_curve.png')
z = Image(filename='runs/train/exp/confusion_matrix.png')
display(x, y,z)
Comparison¶
In [23]:
#creating dataframe
import pandas as pd
result = pd.DataFrame({ 'ML Model' : ML_Model,
'Precision': precision,
'Recall' : recall,
'mAP' : mAP,
})
In [24]:
result
Out[24]:
| ML Model | Precision | Recall | mAP | |
|---|---|---|---|---|
| 0 | YoloV5S | 0.793 | 0.786 | 0.854 |
| 1 | YoloV5M | 0.964 | 0.870 | 0.947 |
| 2 | YoloV5l | 0.956 | 0.943 | 0.965 |
| 3 | YoloV5X | 0.968 | 0.953 | 0.975 |
| 4 | YoloVx6 | 0.985 | 0.950 | 0.990 |
| 5 | YoloV3 | 0.978 | 0.947 | 0.973 |
| 6 | YoloV4 | 0.778 | 0.768 | 0.821 |
| 7 | Super Yolo | 0.805 | 0.797 | 0.870 |
Graph¶
In [26]:
import numpy as np
In [27]:
classifier = ML_Model
y_pos = np.arange(len(classifier))
Precision¶
In [29]:
import matplotlib.pyplot as plt2
plt2.barh(y_pos, precision, align='center', alpha=0.5,color='red')
plt2.yticks(y_pos, classifier)
plt2.xlabel('Precision Score')
plt2.title('Classification Performance')
plt2.show()
Recall¶
In [30]:
import matplotlib.pyplot as plt2
plt2.barh(y_pos, recall, align='center', alpha=0.5,color='yellow')
plt2.yticks(y_pos, classifier)
plt2.xlabel('Recall Score')
plt2.title('Classification Performance')
plt2.show()
mAP¶
In [31]:
import matplotlib.pyplot as plt2
plt2.barh(y_pos, mAP, align='center', alpha=0.5,color='navy')
plt2.yticks(y_pos, classifier)
plt2.xlabel('mAP')
plt2.title('Classification Performance')
plt2.show()
In [ ]: